Publications

Here is only a selected list of publications. The full-list is accessible under request:

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Journals | 2020, 2019, 2018, 2017, 2016, 2015, 2014, 2013

Conferences | 2020, 2019, 2018, 2017, 2016, 2015, 2014, 2013, 2012, 2011, 2010, 2009

Books | Books Chapters | Recent Reprints | Reports

Books

Ming Liu, Haoyao Chen, Markus Vincze, Computer Vision Systems, LNCS Series, volume 10528, Springer, 2017

Book Chapters

Wang, S., Colas, F., Liu, M., Mondada, F., & Magnenat, S. (2018). Localization of inexpensive robots with low-bandwidth sensors. In Distributed Autonomous Robotic Systems (pp. 545-558). Springer, Cham.
Peng Yun, Jianhao Jiao and Ming Liu (2017) Towards a Cloud Robotics Platform for Distributed Visual SLAM. In: Liu M., Chen H., Vincze M. (eds) Computer Vision Systems. ICVS 2017. Lecture Notes in Computer Science, vol 10528. Springer, Cham
Lujia Wang, Ming Liu, et al., A Pricing Mechanism for Task Oriented Resource Allocation in Cloud Robotics, Springer Book on Robots and Sensor Clouds, 2016, ISSN 2198-4182, ISBN 978-3-319-22168-7
Qinghai Liao, Ming Liu, Wenchong Zhang and Peng Shi (2017) Visual Tracking and Servoing System for Experiment of Optogenetic Control of Brain Activity. In: Liu M., Chen H., Vincze M. (eds) Computer Vision Systems. ICVS 2017. Lecture Notes in Computer Science, vol 10528. Springer, Cham
Hui Zhang, Xiangwei Wang, Xiaoguo Du, Ming Liu and Qijun Chen (2017) Dynamic Environments Localization via Dimensions Reduction of Deep Learning Features. In: Liu M., Chen H., Vincze M. (eds) Computer Vision Systems. ICVS 2017. Lecture Notes in Computer Science, vol 10528. Springer, Cham
Jianhao Jiao, Peng Yun and Ming Liu (2017) A Cloud-Based Visual SLAM Framework for Low-Cost Agents. In: Liu M., Chen H., Vincze M. (eds) Computer Vision Systems. ICVS 2017. Lecture Notes in Computer Science, vol 10528. Springer, Cham

Journals

2024

Jianhao Jiao, Ruoyu Geng, Yuanhang Li, Ren Xin, Bowen Yang, Jin Wu, Lujia Wang, Ming Liu, Rui Fan, Dimitrios Kanoulas, "Real-Time Metric-Semantic Mapping for Autonomous Navigation in Outdoor Environments", in IEEE Transactions on Automation Science and Engineering (TASE).
Zhou, Xiao; Peng, Zenggi; Xie, Yusen; Liu, Ming; Ma, Jun, "Game-Theoretic DriverModeling and Decision-Making for AutonomousDriving with Temporal-Spatial Attention-BasedDeep Q-Learning", in IEEE Transactions on Intelligent Vehicles (TIV).
Chen Y, Cheng J, Wang S, et al. Enhancing Campus Mobility: Achievements and Challenges of Autonomous Shuttle "Snow Lion", in IEEE Robotics and Automation Magazine (RAM), doi: 10.1109/MRA.2024.3433168.
M. Jia, Q. Zhang, B. Yang, J. Wu, M. Liu and P. Jensfelt, "BeautyMap: Binary-Encoded Adaptable Ground Matrix for Dynamic Points Removal in Global Maps," in IEEE Robotics and Automation Letters, doi: 10.1109/LRA.2024.3402625.
Hongji Liu, Mingkai Tang, Mingkai Jia, Yingbing Chen, Jin Wu, Ming Liu,"VHDMap-SE: A Universal Vectorized High-definition Map Aided Vehicle State Estimator." IEEE Transactions on Intelligent Vehicles(2024), doi 10.1109/TIV.2024.3388204.
Qingxian Jia, Chengxi Zhang, Choon Ki Ahno, Jin Wu, Ming Liu, "Reconﬁgurable Fault-Tolerant Attitude Tracking for Spacecraft with Unknown Nonlinear Dynamics using Neural Network Estimators with Learning-Type Weight Updating," in Nonlinear Dynamics, 9 February 2024.
Hu, Xiangcheng, Linwei Zheng, Jin Wu, Ruoyu Geng, Yang Yu, Hexiang Wei, Xiaoyu Tang, Lujia Wang, Jianhao Jiao, and Ming Liu, "PALoc: Advancing SLAM Benchmarking With Prior-Assisted 6-DoF Trajectory Generation and Uncertainty Estimation," in IEEE/ASME Transactions on Mechatronics, doi: 10.1109/TMECH.2024.3362902.
Bohuan Xue, Xiaoyang Yan, Jin Wu, Jintao Cheng, Jianhao Jiao, Haoxuan Jiang, Rui Fan, Ming Liu, Chengxi Zhang, "Visual-Marker Based Localization for Flat-Variation Scene," in IEEE Transactions on Instrumentation and Measurement, doi: 10.1109/TIM.2024.3372231.
Tianyu Liu, Hao Zhao, Yang Yu, Guyue Zhou and Ming Liu, "Car-Studio: Learning Car Radiance Fields from Single-View and Unlimited In-the-wild Images," in IEEE Robotics and Automation Letters, doi: 10.1109/LRA.2024.3349949.

2023

Boyi Liu, Lujia Wang, Ming Liu, "RoboEC2: A Novel Cloud Robotic System With Dynamic Network Offloading Assisted by Amazon EC2," in IEEE Transactions on Automation Science and Engineering, doi: 10.1109/TASE.2023.3305522.
Jiaolong Wang, Chengxi Zhang, Choon Ki Ahn, Jin Wu and Ming Liu, "Continuous-Discrete Cubature Kalman Filter with Log-Euclidean Metric-based Covariance Integration," in IEEE Transactions on Circuits and Systems II: Express Briefs, doi: 10.1109/TCSII.2023.3279140.
Zhenhua Xu, Yuxuan Liu, Yuxiang Sun, Ming Liu, Lujia Wang, RNGDet++: Road Network Graph Detection by Transformer With Instance Segmentation and Multi-Scale Features Enhancement," in IEEE Robotics and Automation Letters, doi: 10.1109/LRA.2023.3264723.
Jianhao Jiao*,Feiyi Chen*, Hexiang Wei, Jin Wu, Ming Liu, "LCE-Calib: Automatic LiDAR-Frame/Event Camera Extrinsic Calibration With A Globally Optimal Solution," in IEEE Transactions on Mechatronics.
Qinyang Zeng, Chengju Liu, Ming Liu, Qijun Chen, "Contrastive 3D Human Skeleton Action Representation Learning via CrossMoCo with Spatiotemporal Occlusion Mask Data Augmentation," in IEEE Transactions on Multimedia, doi: 10.1109/TMM.2023.3253048.
Jin Wu, Miaomiao Wang, Hassen Fourati, Hui Li, Yilong Zhu, Chengxi Zhang, Yi Jiang, Xiangcheng Hu, Ming Liu, "Generalized n-Dimensional Rigid Registration: Theory and Applications". in IEEE Transactions on Cybernetics, vol. 53, no. 2, pp. 927-940, Feb. 2023, doi: 10.1109/TCYB.2022.3168938.
Zhijian He, Xueli Fan, Yun Peng, Zhaoyan Shen, Jianhao Jiao, Ming Liu, "EmPointMovSeg: Sparse Tensor-Based Moving-Object Segmentation in 3-D LiDAR Point Clouds for Autonomous Driving-Embedded System," in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 42, no. 1, pp. 41-53, Jan. 2023, doi: 10.1109/TCAD.2022.3172031.
Zuhao Zou, Liang Li, Xiangcheng Hu, Yilong Zhu, Bohuan Xue, Jin Wu, Ming Liu, "Robust Equipment-Free Calibration of Low-Cost Inertial Measurement Units," in IEEE Transactions on Instrumentation and Measurement, doi: 10.1109/TIM.2023.3234081.

2022

Rui Fan, Umar Ozgunalp, Yuan Wang, Ming Liu, Ioannis Pitas, "Rethinking Road Surface 3-D Reconstruction and Pothole Detection: From Perspective Transformation to Disparity Map Segmentation ," in IEEE Transactions on Cybernetics, vol. 52, no. 7, pp. 5799-5808, July 2022, doi: 10.1109/TCYB.2021.3060461.
Zhijian He, Xueli Fan, Peng Yun, Zhaoyan Shen, Jianhao Jiao, Ming Liu, "EmPointMovSeg: Sparse Tensor-Based Moving-Object Segmentation in 3-D LiDAR Point Clouds for Autonomous Driving-Embedded System," in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 42, no. 1, pp. 41-53, Jan. 2023, doi: 10.1109/TCAD.2022.3172031.
Feiyi. Chen, Liang. Li, Shuyang. Zhang, Jin. Wu and Lujia. Wang, "PBACalib: Targetless Extrinsic Calibration for High-Resolution LiDAR-Camera System Based on Plane-Constrained Bundle Adjustment," in IEEE Robotics and Automation Letters, 2022, doi: 10.1109/LRA.2022.3226026.
Yingbing Chen, Ren Xin, Jie Cheng, Qingwen Zhang, Xiaodong Mei, Ming Liu, and Lujia Wang. Efficient Speed Planning for Autonomous Driving in Dynamic Environment with Interaction Point Model. IEEE Robotics and Automation Letters (RA-L), 2022, DOI: 10.1109/LRA.2022.3207555.
Sukai Wang, Yuxiang Sun, Zheng Wang, Ming Liu. ST-TrackNet: A Multiple-object Tracking Network using Spatio-temporal Information. IEEE Transactions on Automation Science and Engineering (T-ASE), 2022.
Xinxing Chen, Huaiyang Huang, Yuxuan Liu, Jiqing Li, Ming Liu. Robot for automatic waste sorting on construction sites. Automation in Construction, Volume 141, 2022, 104387, ISSN 0926-5805.
Boyi Liu, Lujia Wang, Ming Liu. ElasticROS: An Elastically Collaborative Robot Operation System for Fog and Cloud Robotics. 10.13140/RG.2.2.35688.14083.
Jin Wu, Miaomiao Wang, Yi Jiang, Bowen Yi, Rui Fan, Ming Liu. Simultaneous Hand–Eye/Robot–World/Camera–IMU Calibration. IEEE/ASME Transactions on Mechatronics, vol. 27, no. 4, pp. 2278-2289, Aug. 2022, doi: 10.1109/TMECH.2021.3103995.
Jin Wu, Miaomiao Wang, Hassen Fourati, Hui Li, Yilong Zhu, Chengxi Zhang, Yi Jiang, Xiangcheng Hu, Ming Liu. (2022) Generalized n-Dimensional Rigid Registration: Theory and Applications. IEEE Transactions on Cybernetics. DOI: 10.1109/TCYB.2022.3168938.
Zhen Feng, Yanning Guo, Qing Liang, M. Usman Maqbool Bhutta, Hengli Wang, Ming Liu, Yuxiang Sun, "MAFNet: Segmentation of Road Potholes with Multi-Modal Attention Fusion Network for Autonomous Vehicles," in IEEE Transactions on Instrumentation and Measurement (T-IM), 2022.
Zian Wang, Zheng Gong, Jinfa Xu, Jin Wu, Ming Liu. (2022) Path Following for Unmanned Combat Aerial Vehicles Using Three-Dimensional Nonlinear Guidance. IEEE/ASME Transactions on Mechatronics. DOI: 10.1109/TMECH.2021.3110262.
Yuchen Wang, Jiakun Hou, Chong Li, Jin Wu, Yu Jiang, Ming Liu, John Y. Hung, "Ultrafast Mode Reversal Coriolis Gyroscopes," in IEEE/ASME Transactions on Mechatronics,
Peide Cai, Hengli Wang, Yuxiang Sun, Ming Liu, "DQ-GAT: Towards Safe and Efficient Autonomous Driving with Deep Q-Learning and Graph Attention Networks," in IEEE Transactions on Intelligent Transportation Systems,
Zhenhua Xu, Yuxuan LIU, Lu Gan, Xiangcheng Hu, Yuxiang Sun, Ming Liu, Lujia Wang, CsBoundary: City-Scale Road-Boundary Detection in Aerial Images for High-Definition Maps, IEEE Robotics and Automation Letters 7, no. 2 (2022): 5063-5070.
Zhenhua Xu, Yuxuan Liu, Lu Gan, Yuxiang Sun, Lujia Wang, and Ming Liu, "RNGDet: Road Network Graph Detection by Transformer in Aerial Images", IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2022.
Yang Yu, Peng Yun, Bohuan Xue, Jianhao Jiao, Rui Fan, Ming Liu, "Accurate and Robust Visual Localization System in Large-Scale Appearance-Changing Environments," in IEEE/ASME Transactions on Mechatronics, doi: 10.1109/TMECH.2022.3177237.
Zhijian He, Xueli Fan, Yun Peng, Zhaoyan Shen, Jianhao Jiao, Ming Liu, "EmPointMovSeg: Sparse Tensor Based Moving Object Segmentation in 3D LiDAR Point Clouds for Autonomous Driving Embedded System," in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, doi: 10.1109/TCAD.2022.3172031.
Jin Wu, Yu Zheng, Zhi Gao, Yi Jiang, Xiangcheng Hu, Yilong Zhu, Jianhao Jiao, Ming Liu, "Quadratic Pose Estimation: Globally Optimal Solutions, Solvability/Observability Analysis and Uncertain Description", IEEE Transactions on Robotics (T-RO), 2022.
Qing Liang, Yuxiang Sun, Chengju Liu, Ming Liu, Lujia Wang, "LedMapper: Towards efficient and accurate LED mapping for visible light positioning at scale", IEEE Transactions on Instrumentation and Measurement, doi: 10.1109/TIM.2021.3123293.
M. Usman Maqbool Bhutta, Yuxiang Sun, Darwin Lau and Ming Liu, "Why-So-Deep: Towards Boosting Previously Trained Models for Visual Place Recognition", IEEE Robotics and Automation Letters, (RA-L), 2022 (Early Access).

2021

Jianhao Jiao, Haoyang Ye, Yilong Zhu, Ming Liu, "Robust Odometry and Mapping for Multi-LiDAR Systems with Online Extrinsic Calibration," IEEE Transactions on Robotics (T-RO), 2021.
Zhe Liu, Qiming Liu, Ling Tang, Kefan Jin, Hongye Wang, Ming Liu, Hesheng Wang, "Visuomotor Reinforcement Learning for Multirobot Cooperative Navigation", IEEE Transactions on Automation Science and Engineering, 2021.
Rui Fan\*, Hengli Wang\*, Yuan Wang\*, Ming Liu, Ioannis Pitas, "Graph Attention Layer Evolves Semantic Segmentation for Road Pothole Detection: A Benchmark and Algorithms," IEEE Transactions on Image Processing (T-IP), 2021. (\* indicates equal contribution)
Xuebin Sun, Yuxiang Sun, Weixun Zuo, Shing Shin Cheng, Ming Liu, "A Novel Coding Scheme for Large-Scale Point Cloud Sequences Based on Clustering and Registration," in IEEE Transactions on Automation Science and Engineering, doi: 10.1109/TASE.2021.3082196.
Qi Chen, Yuxiang Sun, Min Zhao and Ming Liu, "Consensus-Based Cooperative Formation Guidance Strategy for Multiparafoil Airdrop Systems," in IEEE Transactions on Automation Science and Engineering, vol. 18, no. 4, pp. 2175-2184, Oct. 2021, doi: 10.1109/TASE.2020.3020558.
Zhe Liu, Hesheng Wang, Huanshu Wei, Ming Liu and Yunhui Liu, "Prediction, Planning, and Coordination of Thousand-Warehousing-Robot Networks With Motion and Communication Uncertainties," in IEEE Transactions on Automation Science and Engineering, vol. 18, no. 4, pp. 1705-1717, Oct. 2021, doi: 10.1109/TASE.2020.3015110.
Chengxi Zhang, Choon Ki Ahn, Jin Wu, Wei He, Yi Jiang, and Ming Liu, "Robustification of Learning Observers to Uncertainty Identification via Time-varying Learning Intensity," IEEE Transactions on Circuits and Systems II: Express Briefs, 2021.
Jin Wu, Miaomiao Wang, Yi Jiang, Bowen Yi, Rui Fan, Ming Liu, "Simultaneous Hand-Eye/Robot-World/Camera-IMU Calibration," IEEE/ASME Transactions on Mechatronics, 2021.
Jin Wu, Chong Li, Chengxi Zhang, Yi Jiang, Yulong Huang, Lujia Wang, Ming Liu, "Trust-Region Solver of A Nonlinear Magnetometer Disturbance Estimation Problem". IEEE Sensors Journal, 2021.
Peide Cai, Hengli Wang, Huaiyang Huang, Yuxuan LIU, Ming Liu, "Vision-Based Autonomous Car Racing Using Deep Imitative Reinforcement Learning," IEEE Robotics and Automation Letters (RA-L), 2021 (Early Access).
Zhenhua Xu, Yuxiang Sun, Ming Liu, "Topo-boundary: A Benchmark Dataset on Topological Road-boundary Detection Using Aerial Images for Autonomous Driving," IEEE Robotics and Automation Letters (RA-L), 2021 (Early Access).
Huaiyang Huang, Haoyang Ye, Yuxiang Sun, Lujia Wang, Ming Liu. (2021). Incorporating learnt local and global embeddings into monocular visual SLAM. In Autonomous Robots. Springer, Cham.
Huaiyang Huang, Yuxiang Sun, Jin Wu, Jianhao Jiao, Xiangcheng Hu, Linwei Zheng, Lujia Wang, Ming Liu, "On Bundle Adjustment for Multiview Point Cloud Registration," IEEE Robotics and Automation Letters (RA-L), 2021 (Early Access).
Qing Liang, Yuxiang Sun, Lujia Wang, and Ming Liu, A novel inertial-aided visible light positioning system using modulated LEDs and unmodulated lights as landmarks, IEEE Transactions on Automation Science and Engineering (TASE), 2021, accepted
Hengli Wang\*, Rui Fan\*, Peide Cai, Ming Liu, "PVStereo: Pyramid Voting Module for End-to-End Self-Supervised Stereo Matching," IEEE Robotics and Automation Letters (RA-L), 2021 (Early Access). (\* indicates equal contribution)
Rui Fan\*, Hengli Wang\*, Bohuan Xue\*, Huaiyang Huang, Yuan Wang, Ming Liu, Ioannis Pitas, "Three-Filters-to-Normal: An Accurate and Ultrafast Surface Normal Estimator," IEEE Robotics and Automation Letters (RA-L), 2021 (Early Access). (\* indicates equal contribution)
Hengli Wang\*, Rui Fan\*, Yuxiang Sun, Ming Liu, "Dynamic Fusion Module Evolves Drivable Area and Road Anomaly Detection: A Benchmark and Algorithms," IEEE Transactions on Cybernetics (T-CYB), 2021. (\* indicates equal contribution)
Rui Fan\*, Hengli Wang\*, Peide Cai, Jin Wu, Mohammud J. Bocus, Lei Qiao, Ming Liu, "Learning Collision-Free Space Detection from Stereo Images: Homography Matrix Brings Better Data Augmentation," IEEE Transactions on Mechatronics (T-MECH), 2021, doi: 10.1109/TMECH.2021.3061077. (\* indicates equal contribution)
Sukai Wang, Peide Cai, Lujia Wang, Ming Liu, "DiTNet: End-to-End 3D Object Detection and Track ID Assignment in Spatio-temporal World," IEEE Robotics and Automation Letters (RA-L), 2021 (Early Access).
Peng Yun, Yuxuan LIU and Ming Liu, "In Defense of Knowledge Distillation for Task Incremental Learning and its Application in 3D Object Detection," IEEE Robotics and Automation Letters (RA-L), 2021 (Early Access).
Zhenhua Xu, Yuxiang Sun and Ming Liu, "iCurb: Imitation Learning-based Detection of Road Curbs using Aerial Images for Autonomous Driving," in IEEE Robotics and Automation Letters (RA-L), vol. 6, no. 2, pp. 1097-1104, April 2021, doi: 10.1109/LRA.2021.3056344.
Yuxuan Liu, Yixuan Yuan and Ming Liu, "Ground-aware Monocular 3D Object Detection for Autonomous Driving," in IEEE Robotics and Automation Letters (RA-L), vol. 6, no. 2, pp. 919-926, April 2021, doi: 10.1109/LRA.2021.3052442.
Yuxiang Sun, Weixun Zuo, Huaiyang Huang, Peide Cai and Ming Liu, “PointMoSeg: Sparse Tensor-based End-to-End Moving-obstacle Segmentation in 3-D Lidar Point Clouds for Autonomous Driving,” in IEEE Robotics and Automation Letters (RA-L), vol. 6, no. 2, pp. 510-517, April 2021
Jin Wu, Ming Liu, Chengxi Zhang, Yulong Huang, Zebo Zhou. (2021). "Geomagnetic Orbit Determination: EKF or UKF?". Aircraft Engineering and Aerospace Technology, March 2021.
G. Yang, Y. Li, X. He, Y. Song, J. Wang and M. Liu, "Profile-Free and Real-Time Task Recommendation in Mobile Crowdsensing". IEEE Transactions on Computational Social Systems, doi: 10.1109/TCSS.2021.3073031.
Yang, Guisong, Zhang, Yanglin, Wang, Buye, He, Xingyu, Wang, Jiangtao, Liu, Ming. (2021). "Task allocation through fuzzy logic based participant density analysis in mobile crowd sensing". Peer-to-Peer Networking and Applications. 1-18. 10.1007/s12083-020-01047-5.
Chenpeng Yao, Chengju Liu, Li Xia, Ming Liu, Qijun Chen. (2021). "Humanoid adaptive locomotion control through a bioinspired CPG-based controller". Robotica. 22 June 2021, p. 1-18 Article, 2021.
Xingyu He, Tingting Liang, Zhao Zhang, Guisong Yang, Linghe Kong, Ming Liu. (2021). "Analysis of communication reliability in NarrowBand-IoT oriented wireless sensor networks". IET Communications, v. 15, (1), January 2021, p. 33-42, 2021
Guisong Yang, Yanting Li, Xingyu He, Yan Song, Jiangtao Wang, Ming Liu. (2021). "Profile-Free and Real-Time Task Recommendation in Mobile Crowdsensing". IEEE Transactions on Computational Social Systems, April 2021, article number 9419374, p. 1-12.

2020

Tianyu Liu, Qing hai Liao, Lu Gan, Fulong Ma, Jie CHENG, Xupeng XIE, Zhe Wang, Yingbing Chen, Yilong Zhu, Shuyang Zhang, Zhengyong Chen, Yang Liu, Meng Xie, Yang Yu, Zitong Guo, Guang Li, Peidong Yuan, Dong Han, Yuying Chen, Haoyang Ye, Jianhao JIAO, Peng Yun, Zhenhua Xu, Hengli Wang, Huaiyang Huang, Sukai Wang, Peide Cai, Yuxiang Sun, Yandong Liu, Lujia Wang, Ming Liu, "Hercules: An Autonomous Logistic Vehicle for Contact-less Goods Transportation During the COVID-19 Pandemic", IEEE Robotics and Automation Magazine, 2020.
Xuebin Sun, Sukai Wang and Ming Liu, A Novel Coding Architecture for Multi-Line LiDAR Point Clouds Based on Clustering and Convolutional LSTM Network, in IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/TITS.2020.3034879.
Jing Li, James Lam, Ming Liu, Zheng Wang. Compliant Control and Compensation for A Compact Cable-Driven Robotic Manipulator,IEEE Robotics and Automation Letters (RA-L), vol. 5, no. 4, pp. 5417-5424, Oct. 2020.
Peide Cai, Yuxiang Sun, Hengli Wang and Ming Liu. VTGNet: A Vision-based Trajectory Generation Network for Autonomous Vehicles in Urban Environments. in IEEE Transactions on Intelligent Vehicles, 2020, doi: 10.1109/TIV.2020.3033878.
M Usman Maqbool Bhutta, Manohar Kuse, RuiFan, Yanan Liu and Ming Liu. Loop-box: Multi-Agent Direct SLAM Triggered by Single Loop Closure for Large Scale Mapping. IEEE Transactions on Cybernetics, 2020, doi: 10.1109/TCYB.2020.3027307.
Jin Wu, Chengxi Zhang and Ming Liu. Hybrid Geomagnetic Attitude and Orbit Estimation Using Time-Differential Feedback. Transactions of the Japan Society for Aeronautical and Space Sciences (JSASS). 2020.
Jin Wu, Yi Jiang, Chong Li, Ran Sun, Chengxi Zhang, Yang Yu, Yilong Zhu and Ming Liu. Circuit Synthesis of 3-D Rotation Orthonormalization. IEEE Transactions on Circuits and Systems II: Express Briefs. 2020, doi: 10.1109/TCSII.2020.3027025.
Qi Chen, Yuxiang Sun, Min zhao, and Ming Liu, Consensus-based Cooperative Formation Guidance Strategy for Multi-parafoil Airdrop Systems, in IEEE Transactions on Automation Science and Engineering, doi: 10.1109/TASE.2020.3020558.
Jin Wu, Ming Liu, Yilong Zhu, Zuhao Zou, Ming-zhe Dai, Chengxi Zhang, Yi Jiang and Chong Li. Globally Optimal Symbolic Hand-Eye Calibration. IEEE/ASME Transactions on Machatronics, 2020, doi: 10.1109/TMECH.2020.3019306.
Jin Wu, Ming Liu, Yulong Huang, Chi Jin, Yuanxin Wu and Changbin Yu. SE(n) + +: An Efﬁcient Solution to Multiple Pose Estimation Problems. IEEE Transactions on Cybernetics, 2020, doi: 10.1109/TCYB.2020.3015039.
Xuebin Sun*, Sukai Wang*, Miaohui Wang, Zheng Wang, Ming Liu, A Novel Coding Architecture for LiDAR Point Cloud Sequence, IEEE Robotics and Automation Letters (RA-L), vol. 5, no. 4, pp. 5637-5644, Oct. 2020, doi: 10.1109/LRA.2020.3010207. (* indicates equal contribution)
Huaiyang Huang, Haoyang Ye, Yuxiang Sun, Ming Liu, GMMLoc: Structure Consistent Visual Localization with Gaussian Mixture Models, IEEE Robotics and Automation Letters (RA-L), 2020, vol. 5, no. 4, pp. 5043-5050, Oct. 2020, doi: 10.1109/LRA.2020.3005130.
Xuebin Sun, Xiaofei Yang, Sukai Wang, Ming Liu, Content-aware Rate Control Scheme for HEVC Based on Static and Dynamic Saliency Detection, Neuralcomputing, 2020, Volume 411, 2020, Pages 393-405, ISSN 0925-2312, https://doi.org/10.1016/j.neucom.2020.06.003.
Yuxiang Sun, Weixun Zuo, Peng Yun, Hengli Wang, and Ming Liu, FuseSeg: Semantic Segmentation of Urban Scenes based on RGB and Thermal Data Fusion, in IEEE Transactions on Automation Science and Engineering, doi: 10.1109/TASE.2020.2993143.
Congcong Liu*, Yuying Chen*, Ming Liu, Bertram E. Shi, Using Eye Gaze to Enhance Generalization of Imitation Networks to Unseen Environments, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), doi: 10.1109/TNNLS.2020.2996386. (* indicates equal contribution)
Peide Cai, Sukai Wang, Yuxiang Sun, Ming Liu, Probabilistic End-to-End Vehicle Navigation in Complex Dynamic Environments with Multimodal Sensor Fusion, in IEEE Robotics and Automation Letters, vol. 5, no. 3, pp. 4218-4224, July 2020, doi: 10.1109/LRA.2020.2994027.
Jin Wu, Mauricio Lopez, Ming Liu, Yilong Zhu, A Linear Geometric Algebra Rotor Estimator for Efficient Mesh Deformation. IET Cyber-Systems and Robotics. 2020.
Jin Wu, Ming Liu, Chengxi Zhang and Zebo Zhou, Correspondence Matching and Time Delay Estimation for Hand-eye Calibration, IEEE Transactions on Instrumentation and Measurement, vol. 69, no. 10, pp. 8304-8313, Oct. 2020, doi: 10.1109/TIM.2020.2987657.
Boyi Liu, Lujia Wang, Ming Liu, Cheng-Zhong Xu, Federated Imitation Learning: A Novel Framework for Cloud Robotic Systems with Heterogeneous Sensor Data, in IEEE Robotics and Automation Letters, vol. 5, no. 2, pp. 3509-3516, April 2020, doi: 10.1109/LRA.2020.2976321.
Sukai Wang, Yuxiang Sun, Chengju Liu, Ming Liu, PointTrackNet: An End-to-End Network for 3D Object Detection and Tracking from Point Cloud, in IEEE Robotics and Automation Letters, vol. 5, no. 2, pp. 3206-3212, April 2020, doi: 10.1109/LRA.2020.2974392.
Yuying Chen*, Congcong Liu*, Ming Liu, Bertram E. Shi, Robot Navigation in Crowds by Graph Convolutional Networks with Attention Learned from Human Gaze, IEEE Robotics and Automation Letters, 2020, 5(2): 2754-2761.
Yuxiang Sun, Weixun Zuo, and Ming Liu, See the Future: A Semantic Segmentation Network Predicting Ego-vehicle Trajectory with a Single Monocular Camera, IEEE Robotics and Automation Letters, 2020, 5(2): 3066-3073.
Peide Cai*, Xiaodong Mei*, Lei Tai, Yuxiang Sun, and Ming Liu, High-speed Autonomous Drifting with Deep Reinforcement Learning, IEEE Robotics and Automation Letters, 2020, 5(2):1247-1254.
Chengju Liu, Tong Zhang, Ming Liu and Qijun Chen , Active Balance Control of Humanoid Locomotion Based on Foot Position Compensation. Journal of Bionic Engineering, 2020, 17(1): 134-147.
Chengju Liu, Limin Lin, Ming Liu, Qijun Chen*, A Multi-task and Multimanipulator Robotic Cooperative Strategy Based on DTW-GMM, IEEE/CAA Journal of Automatica Sinica JAS, 2020.
Chengju Liu, Guoxing Wang, Ming Liu, Qijun Chen. Workspace trajectory generation method for humanoid adaptive walking with dynamic motion primitives, in IEEE Access, vol. 8, pp. 54652-54662, 2020, doi: 10.1109/ACCESS.2020.2976098.
Yandong Liu, Lujia Wang, Ming Liu, Cheng-zhong Xu. A Novel Labour Division Strategy based on fixed response Threshold Model for Warehouse Systems, International Journal of Robotics and Automation. v. 35, (2), February 2020, p. 132-139.
XingYu He, Ming Liu, Guisong Yang. Spatiotemporal opportunistic transmission for mobile crowd sensing networks, Personal and Ubiquitous Computing. 1-11. 10.1007/s00779-020-01439-7. 2020.

2019

Ying Wang, Kai Xie, Haibing Yue, Xian Chen, Xuan Luo, Qinghai Liao, Ming Liu, Feng Wang and Peng Shi, Flexible and Fully Implantable Upconversion Device for Wireless Optogenetic Stimulation of Spinal Cord in Behaving Animals, Nanoscale, 2019, Accepted Manuscript.
Ting Sun, Ming Liu, Haoyang Ye and Dit-Yan Yeung, Point-cloud-based place recognition using CNN feature extraction, IEEE Sensors Journal, accepted.
Rui Fan, Ming Liu, Road Damage Detection Based on Unsupervised Disparity Map Segmentation, IEEE Transactions on Intelligent Transportation Systems (T-ITS), pp. 1-6, November 2019.
Jin Wu, Ming Liu, Zebo Zhou and Rui Li, Fast Symbolic 3D Registration Solution, IEEE Transactions on Automation Science and Engineering (TASE), Vol 17, Issue 2, pp. 761-770, April 2020
Hengli Wang, Yuxiang Sun and Ming Liu, Self-Supervised Drivable Area and Road Anomaly Segmentation using RGB-D Data for Robotic Wheelchairs, IEEE Robotics and Automation Letters (RA-L), vol. 4, no. 4, pp. 4386-4393, October 2019.
Jin Wu, Yuxiang Sun, Miaomiao Wang, Ming Liu, Hand-eye Calibration: 4D Procrustes Analysis Approach, IEEE Transactions on Instrumentation and Measurement, available online August 8, 2019
Jianghua Duan, Yongsheng Ou, Sheng Xu, Ming Liu, Sequential Learning Unification Controller from Human Demonstrations for Robotic Compliant Manipulation, Neurocomputing, available online 30 July 2019, In Press
Rui Fan, Umar Ozgunalp, Brett Hosking, Ming Liu, Ioannis Pitas, 2020. "Pothole Detection Based on Disparity Transformation and Road Surface Modeling." IEEE Transactions on Image Processing, 29(1), pp.897-908.
Jin Wu, Ming Liu, Yuhua Qi, Computationally Efficient Robust Algorithm for Generalized Sensor Calibration Problem AR = RB. IEEE Sensors Journal, Vol 19, Issue 20, pp. 9512-9521, Oct 2019
Boyi Liu, Lujia Wang, Ming Liu, Chengzhong Xu, Lifelong Federated Reinforcement Learning: A Learning Architecture for Navigation in Cloud Robotic Systems, IEEE Robotics and Automation Letters (RA-L), 2019, accepted
Qing Liang and Ming Liu, An Automatic Site Survey Approach for Indoor Localization using a Smartphone, IEEE Transactions on Automation Science and Engineering (TASE), available online June 14, 2019
Chengju Liu, Tong Zhang, Changzhu Zhang, Ming Liu, Qijun Chen, Foot Placement Compensator Design for Humanoid Walking Based on Discrete Control Lyapunov Function, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 10.1109/TSMC.2019.2912417, 2019
Chengju Liu, Jing Yang, Kang An, Ming Liu, Qijun Chen. Robust Control of Semi-passive Biped Dynamic Locomotion based on a Discrete Control Lyapunov Function. Robotica, 2019
Sheng Xu, Yongsheng Ou, Jianghua Duan, Xinyu Wu, Wei Feng, Ming Liu, Robot trajectory tracking control using learning from demonstration method, Neurocomputing, Vol 338, 2019, pp 249-261
Yuxiang Sun, Weixun Zuo, Ming Liu, RTFNet: RGB-Thermal Fusion Network for Semantic Segmentation of Urban Scenes, IEEE Robotics and Automation Letters (RA-L), vol. 4, no. 3, pp. 2576–2583, July 2019.
Xuebin Sun, Han Ma, Yuxiang Sun, Ming Liu, A Novel Point Cloud Compression Algorithm Based On Clustering, IEEE Robotics and Automation Letters (RA-L), 2019, accepted
Yuxiang Sun, Ming Liu and Max Q.-H. Meng, Active Perception for Foreground Segmentation: An RGB-D Data-based Background Modelling Method, IEEE Transactions on Automation Science and Engineering (TASE), 2019, accepted
Jin Wu and Zebo Zhou and Fourati, Hassen and Rui Li and Ming Liu, Generalized Linear Quaternion Complementary Filter for Attitude Estimation from Multi-Sensor Observations: An Optimization Approach, IEEE Transactions on Automation Science and Engineering (TASE), Vol 16, Issue 3, pp. 1330-1343, July 2019.
Jingwei Zhang*, Lei Tai*, Peng Yun, Yufeng Xiong, Ming Liu, Joschka Boedecker, Wolfram Burgard, VR-Goggles for Robots: Real-to-sim Domain Adaptation for Visual Control, IEEE Robotics and Automation Letters (RA-L). (* indicates equal contribution).
Xuebin Sun, Han Ma, Weixun Zuo, Ming Liu, Perceptual-Based HEVC Intra Coding Optimization Using Deep Convolution Networks, IEEE Access, Vol 7, Issue 1, pp 56308-56316, 2019
Peng Yun, Lei Tai, Yuan Wang, Chengju Liu, Ming Liu, Focal Loss in 3D Object Detection, IEEE Robotics and Automation Letters (RA-L).

2018

Xinxing Chenand Jiannan Xiang and Chaobo Zhang and Chih-Chen Chang and Ming Liu, A high-accuracy image-based crack displacement sensor, Journal of Physics: Conference Series, vol.1149, 2018
Ming Liu, Real paradox as self-driving age nears, International Journal of Robotics Research, Applications and Automation, available online 6 November 2018
Xinxing Chen, Chih-chen Chang, Jiannan Xiang, Chaobo Zhang, Ming Liu, An Optical Crack Growth Sensor Using the Digital Sampling Moiré Method, Sensors, available online 15 October 2018, doi: 10.3390/s18103466.
Yuxiang Sun, Ming Liu, Max Q.-H. Meng, Motion removal for reliable RGB-D SLAM in dynamic environments, Robotics and Autonomous Systems RAS, Volume 108, October 2018, Pages 115-128
Xinyu Wu, Du-Xin Liu, Ming Liu, Chunjie Chen, Huiwen Guo, Individualized Gait Pattern Generation for Sharing Lower Limb Exoskeleton Robot, IEEE Transactions on Automation Science and Engineering (TASE), 17 July 2018
Jin Wu, Zebo Zhou, Hassen Fourati, Ming Liu, Recursive Linear Continuous Quaternion Attitude Estimator From Vector Observations, IET Radar, Sonar & Navigation, Vol 12, Issue 11, pp. 1196-1207, Nov 2018.

2017

Xudong Lin, Xian Chen, Wenchong Zhang, Tianying Sun, Peilin Fang, Qinghai Liao, Xi Chen, Jufang He, Ming Liu, Feng Wang, and Peng Shi, Core-Shell-Shell Upconversion Nanoparticles with Enhanced Emission for Wireless Optogenetic Inhibition, Nano Letter, DOI: 10.1021/acs.nanolett.7b04339, December 26, 2017
Lei Tai, Shaohua Li, Ming Liu, Autonomous Exploration of Mobile Robots through Deep Neural Networks, International Journal of Advanced Robotic Systems (IJARS). Vol 14, Issue 4, July-25-2017.
Ying Wang, Xudong Lin, Xi Chen, Xian Chen, Zhen Xu, Wenchong Zhang, Qinghai Liao, Xin Duan, Xin Wang, Ming Liu, Feng Wang, Jufang He, Peng Shi, Tetherless near-infrared control of brain activity in behaving animals using fully implantable upconversion microdevices, Biomaterials, Available online 14 July, 2017 (in press)
Yuxiang Sun, Ming Liu, et al, Improving RGB-D SLAM in dynamic environments: A motion removal approach, Robotics and Automation System (RAS), Most cited paper on the journal, Vol 89, Pages 110-122, March 2017,
Lujia Wang, Ming Liu, et al., A Hierarchical Auction-based Mechanism for Real-Time Resource Allocation in Cloud Robotic Systems, 11 Feb, IEEE Transactions on Cybernetics (TCYB), vol. 47, no. 2, pp. 473-484, Feb. 2017. DOI: 10.1109/TCYB.2016.2519525

2016

Qiu Kejie, Fangyi Zhang, Ming Liu, Let The Light Guide us: VLC-based localization, IEEE Robotics and Automation Magazine (RAM), Vol 23, Issue 4, pp 174-183, Dec 2016,
Lei Tai, Ming Liu, Mobile robots exploration through cnn-based reinforcement learning, Robotics and Biomimetics, 21 December 2016, DOI: 10.1186/s40638-016-0055-x.

2015

Ming Liu, Robotic Online Path Planning on Point Cloud, IEEE Transactions on Cybernetics (TCYB), 2016 May;46(5):1217-28. doi: 10.1109 / TCYB.2015.2430526. Epub 2015 May 20.,
Lujia Wang, Ming Liu, et al., Real-time Multi-sensor Information Retrieval for Cloud Robotic Systems, IEEE Transactions on Automation Science and Engineering (TASE), Vol.12, Number 2, April 2015.

2014

G-J. Kruijff et al. Ming Liu, Designing, developing, and deploying systems to support human-robot teams in disaster response, Advanced Robotics, vol. 28, no. 23, special issue on Disaster Response Robotics, 2014,
Ming Liu, Luc Oth, Francis Colas, Roland Siegwart, Incremental Topological Segmentation for Semi-structured Environments, Autonomous Robots (AURO), Vol. 37, Issue 3, Aug. 2014.
Ming Liu, Roland Siegwart, Topological mapping and scene recognition with lightweight color descriptors for omnidirectional camera, IEEE Transactions on Robotics (TRO), Vol. 30, Issue 2, pp. 310- 324, April. 2014.

2013

Ming Liu, Cedric Pradalier, Roland Siegwart, Visual Homing from Scale with an Uncalibrated Omnidirectional Camera, IEEE Transactions on Robotics (TRO), Vol. 29, Issue 6, pp.1353 - 1365, Dec. 2013.
Francois Pomerleau, Ming Liu, Francis Colas, Roland Siegwart, Challenging Data Sets for Point Cloud Registration Algorithms International Journal of Robotics Research (IJRR), vol 31, issue 14, pp 1705-1711, 2012,

Conferences

2024

GuOyang ZHAO, FULONG MA, Weiging Qi and Ming LIu, "Learning-based Subcategory Ground Segmentation Model for LiDAR Point Clouds", IEEE International Conference on Robotics and Biomimetics (ROBIO), 2024, Bankok, Thailand.
Weiqing Qi, FULONG MA,Guoyang ZHA0, Ming Liu and Jun Ma, "CracksegMamba: A LightweightMamba Model for Crack Segmentation", IEEE International Conference on Robotics and Biomimetics (ROBIO), 2024, Bankok, Thailand.
Ren Xin, Yingbing Chen, Jie Cheng, Ming Liu and Jun Ma, "RiskMap: A Unified Driving ContextRepresentation for Autonomous Motion Planningin Urban Driving Environment", IEEE International Conference on Robotics and Biomimetics (ROBIO), 2024, Bankok, Thailand.
Jia Mingkai, Zhang Qingwen, Yang Bowen, Wu Jin, Liu Ming, Jensfelt Patric, "BeautyMap: Binary-Encoded Adaptable Ground Matrix for Dynamic Points Removal in Global Maps", 2024 lEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Tianshuai HU, Jianhao JIAO, Yucheng Xu, Hongji Liu, Sheng WANG, Ming Liu, "DHP-Mapping: A Dense Panoptic Mapping System with Hierarchical World Representation and Label Optimization Techniques", 2024 lEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Liu Tianyu, Zhao Hao, Yu Yang, Zhou Guyue, Liu Ming, "Car-Studio: Learning Car Radiance Fields from Single-View and Unlimited In-the-wild Images", 2024 lEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Ren XIN, Hongji Liu, Yingbing Chen, Jie CHENG, Sheng WANG, Jun Ma, Ming Liu, "A Generic Trajectory Planning Method for Constrained All-Wheel-Steering Robots", 2024 lEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Fulong Ma, Xiaoyang YAN, Guoyang ZHAO,Xiaojie Xu, Yuxuan LlU, Jun Ma, Ming Liu, "Every Dataset Counts:Scaling up Monocular 3D Obiect Detection with Joint Datasets Training", 2024 lEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Weiqing QI, Guoyang ZHAO, Fulong MA, Linwei ZEHNG, Jun MA, Ming LIU, "CLRKDNet: Speeding up Lane Detection with Knowledge Distillation." 27th IEEE International Conference on Intelligent Transportation Systems (ITSC).
Linwei Zheng, Xiangcheng Hu, Fulong Ma, Guoyang Zhao, Weiging Qi, Jun Ma, Ming Liu, "A Translation-Tolerant Place Recognition Method by Viewpoint Unification." 27th IEEE International Conference on Intelligent Transportation Systems (ITSC).
Xiao Zhou, Chengzhen Meng, Wenru Liu, Zenggi Peng, Ming Liu, Jun Ma, "Integrated Intention Prediction and Decision-Making with Spectrum Attention Net and Proximal Policy Optimization." 27th IEEE International Conference on Intelligent Transportation Systems (ITSC invited Oral).
Hongji Liu, Linwei Zheng, Xiaoyang Yan, Zhenhua Xu, Bohuan Xue, Yang Yu, Ming Liu, "PGO-IPM: Enhance IPM Accuracy with Pose-Guided Optimization for Low-Cost High-Definition Angular Marking Map Generation." 35th IEEE Intelligent Vehicles Symposium (IV) 2024.
Yuxuan LIU, Zhenhua Xu, Huaiyang Huang, Lujia Wang, Ming Liu, FSNet: Redesign Self-Supervised MonoDepth for Full-Scale Depth Prediction for Autonomous Driving, International Conference on Robotics and Automation (ICRA), 2024, Yokohama, Japan.
Shuyang Zhang, Jinhao He, Bohuan Xue, Wu Jin, Pengyu Yin, Jianhao JIAO, Ming Liu, An Image Acquisition Scheme for Visual Odometry based on Image Bracketing and Online Attribute Control, International Conference on Robotics and Automation (ICRA), 2024, Yokohama, Japan.
Jinhao He, Huaiyang Huang, Shuyang Zhang, Jianhao JIAO, Ming Liu, APMP: Accurate Prior-centric Monocular Positioning with Offline LiDAR Fusion, International Conference on Robotics and Automation (ICRA), 2024, Yokohama, Japan.
Bonan Liu, Guoyang ZHAO, Jianhao JIAO, Guang Cai, Chengyang Li, Handi Yin, Yuyang Wang*, Ming Liu, Pan Hui, OmniColor: A Global Camera Pose Optimization Approach of LiDAR-360Camera Fusion for Colorizing Point Clouds, International Conference on Robotics and Automation (ICRA), 2024, Yokohama, Japan.
Shipeng Zhong, Hongbo Chen, Yuhua Qi*, Dapeng Feng, Zhiqiang Chen, Wu Jin, Weisong Wen, Ming Liu , CoLRIO: LiDAR-Ranging-Inertial Centralized State Estimation for Robotic Swarms, International Conference on Robotics and Automation (ICRA), 2024, Yokohama, Japan.
Zhiqiang Chen, Hongbo Chen, Yuhua Qi*, Shipeng Zhong, Dapeng Feng, Wu Jin, Weisong Wen, Ming Liu , RELEAD: Resilient Localization with Enhanced LiDAR Odometry in Adverse Environments, International Conference on Robotics and Automation (ICRA), 2024, Yokohama, Japan.
Sheng WANG, Yingbing Chen, Jie CHENG, Xiaodong Mei, yongkang song, Ming Liu, Improving Autonomous Driving Safety with POP: A Framework for Accurate Partially Observed Trajectory Predictions, International Conference on Robotics and Automation (ICRA), 2024, Yokohama, Japan.

2023

Ren Xin, Jie Cheng, Sheng Wang and Ming Liu, "Velocity Field: An Informative Traveling Cost Representation for Trajectory Planning", IEEE International Conference on Robotics and Biomimetics (ROBIO), 2023, Samui, Thailand.
Fulong Ma, Yang Liu, Sheng Wang, Jin Wu, Weiqing Qi and Ming Liu, Self-Supervised Drivable Area Segmentation Using LiDAR's Depth Information for Autonomous Driving, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023, Detroit, Michigan, USA.
Jie Cheng, Xiaodong Mei and Ming Liu, Forecast-MAE: Self-supervised Pre-training for Motion Forecasting With Masked Autoencoders, International Conference on Computer Vision (ICCV), 2023, Paris, France.
Zhenhua Xu, Yuxuan Liu, Yuxiang Sun, Ming Liu and Lujia Wang, CenterLineDet: Road Lane CenterLine Graph Detection With Vehicle-Mounted Sensors by Transformer for High-definition Map Creation, International Conference on Robotics and Automation (ICRA), 2023, London, Britain.
Yingbing Chen, Ren Xin, Jie Cheng, Qingwen Zhang, Xiaodong Mei, Ming Liu, and Lujia Wang. Efficient Speed Planning for Autonomous Driving in Dynamic Environment with Interaction Point Model. International Conference on Robotics and Automation (ICRA), 2023, London, Britain.
Wu Jin, Soheli Sarabandi, Jianhao Jiao, Huaiyang Huang, Bohuan xue, Ruoyu Geng, Lujia Wang, Ming Liu, Completely Rational SO(n) Orthonormalization, International Conference on Robotics and Automation (ICRA), 2023, London, Britain.
Yi Feng, Bohuan Xue, Ming Liu, Qijun Chen, Rui Fan, CenterLineDet: D2NT: A High-Performing Depth-to-Normal Translator, International Conference on Robotics and Automation (ICRA), 2023, London, Britain.
Qingqing Yan, Shu Li, Chengju Liu, Ming Liu, Qijun Chen, FDLNet: Boosting Real-time Semantic Segmentation by Image-Size Convolution via Frequency Domain Learninig, International Conference on Robotics and Automation (ICRA), 2023, London, Britain.

2022

Fulong Ma, Sheng Wang, Ming Liu, “An Automatic Multi-LiDAR Extrinsic Calibration Algorithm Using Corner Planes”, Best Student Paper, The IEEE International Conference on Robotics and Biomimetics (IEEE ROBIO), Xishuangbanna, China, Dec. 5 to 9, 2022.
Ho Nam Yu, Ming Liu, Cheuk Wing Lee, "Application of Local Weather Data in Photovoltsaic System Output Forecasting by Using Machine Learning", The International Council on Electrical Engineering (ICEE), Seoul, Korea, June 28 - July 2, 2022.
Feiyi Chen, Shuyang Zhang, Xupeng Xie, Qingwen Zhang, Yutong Wang, Jianhao Jiao, Ming Liu. "Automatic Multi-camera Multi-LiDAR Extrinsic Calibration using Geometric Corners," 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), 2022, pp. 4234-4240, doi: 10.1109/ITSC55140.2022.9921851.
Jun Cen, Peng Yun, Shiwei Zhang, Junhao Cai, Di Luan, Michael Yu Wang, Ming Liu, Mingqian Tang, Open-world Semantic Segmentation for LIDAR Point Clouds, European Conference on Computer Vision 2022.
Peng Yun, Ming Liu, Laplace Approximation Based Epistemic Uncertainty Estimation in 3D Object Detection, 6th Annual Conference on Robot Learning, 2022.
Sukai Wang, Ming Liu, Point Cloud Compression with Range Image-Based Entropy Model for Autonomous Driving, European Conference on Computer Vision 2022 (pp. 323-340).
Hongji Liu, Huajian Huang, Sai-Kit Yeung, Ming Liu, 360ST-Mapping: An Online Semantics-Guided Topological Mapping Module for Omnidirectional Visual SLAM, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022, Kyoto, Japan.
Jie Cheng, Ren Xin, Sheng Wang, Ming Liu, MPNP: Multi-policy Neural Planner for Urban Driving, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022, Kyoto, Japan.
Jianhao Jiao\*, Hexiang Wei\*, Tianshuai Hu\*, Xiangcheng Hu\*, Yilong Zhu, Zhijian He, Jin Wu, Jingwen Yu,, Xupeng Xie, Huaiyang Huang, Ruoyu Geng, Lujia Wang, Ming Liu, FusionPortable: A Multi-Sensor Campus-Scene Dataset for Evaluation of Localization and Mapping Accuracy on Diverse Platforms, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022, Kyoto, Japan.
Yuying Chen\*, Congcong Liu\*, Xiaodong Mei\*, Bertram E. Shi, Ming Liu, HGCN-GJS: Hierarchical Graph Convolutional Network with Groupwise Joint Sampling for Trajectory Prediction, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022, Kyoto, Japan.
Sukai Wang, Jianhao Jiao, Peide Cai, Lujia Wang, R-PCC: A Baseline for Range Image-based Point Cloud Compression, International Conference on Robotics and Automation (ICRA), 2022, Philadelphia, the US.
Hengli Wang, Rui Fan, Peide Cai, Ming Liu, Lujia Wang, UnDAF: A General Unsupervised Domain Adaptation Framework for Disparity or Optical Flow Estimation, International Conference on Robotics and Automation (ICRA), 2022, Philadelphia, the US.
Yuxuan LIU, Zhenhua Xu, Ming Liu, Star-Convolution for Image-Based 3D Object Detection, International Conference on Robotics and Automation (ICRA), 2022, Philadelphia, the US.
Jie Cheng, Yingbing Chen, Qingwen Zhang, Lu Gan, Chengju Liu, Ming Liu, Real-Time Trajectory Planning for Autonomous Driving with Gaussian Process and Incremental Refinement, International Conference on Robotics and Automation (ICRA), 2022, Philadelphia, the US.
Zhenhua Xu, Yuxuan LIU, Lu Gan, Xiangcheng Hu, Yuxiang Sun, Ming Liu, Lujia Wang, CsBoundary: City-Scale Road-Boundary Detection in Aerial Images for High-Definition Maps, International Conference on Robotics and Automation (ICRA), 2022, Philadelphia, the US.
Shu Li, Qingqing Yan, Chengju Liu, Ming Liu, Qijun Chen, HoloSeg: An Efficient Holographic Segmentation Network for Real-Time Scene Parsing, International Conference on Robotics and Automation (ICRA), 2022, Philadelphia, the US.

2021

Peng Yun, Jun Cen, Ming Liu, Conflicts between Likelihood and Knowledge Distillation in Task Incremental Learning for 3D Object Detection, 2021 International Conference on 3D Vision (3DV), 2021.
Jun Cen, Peng Yun, Junhao Cai, Michael Wang, Ming Liu, Open-set 3D Object Detection, 2021 International Conference on 3D Vision (3DV), 2021.
Jun Cen, Peng Yun, Junhao Cai, Michael Yu Wang, Ming Liu, Deep Metric Learning for Open World Semantic Segmentation, IEEE/CVF International Conference on Computer Vision (ICCV), 2021, Virtual.
Jin Wu, Zebo Zhou, Hassen Fourati, Ming Liu, Lasso Wahba's Problem and Its Analytical Solution for Spacecraft Attitude Determination. IEEE Conference on Automation Science and Engineering (CASE), 2021, Lyon, France.
Zhenhua Xu, Yuxiang Sun, Ming Liu, Topo-boundary: A Benchmark Dataset on Topological Road-boundary Detection Using Aerial Images for Autonomous Driving, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021, Prague, Czech Republic.
Peide Cai, Hengli Wang, Yuxiang Sun, Ming Liu, DiGNet: Learning Scalable Self-Driving Policies for Generic Traffic Scenarios with Graph Neural Network, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021, Prague, Czech Republic.
Zhenhua Xu, Yuxiang Sun, Ming Liu, CP-loss: Connectivity-preserving Loss for Road Curb Detection in Autonomous Driving with Aerial Images, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021, Prague, Czech Republic.
Hengli Wang\*, Rui Fan\*, Peide Cai, Ming Liu, SNE-RoadSeg+: Rethinking Depth-Normal Translation and Deep Supervision for Freespace Detection, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021, Prague, Czech Republic. (* indicates equal contribution)
Peide Cai, Hengli Wang, Huaiyang Huang, Yuxuan LIU, Ming Liu, Vision-Based Autonomous Car Racing Using Deep Imitative Reinforcement, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021, Prague, Czech Republic.
Hengli Wang, Rui Fan, Ming Liu, Co-Teaching: An Ark to Unsupervised Stereo Matching, IEEE International Conference on Image Processing (ICIP), 2021 , Anchorage, USA.
Hengli Wang, Rui Fan, Ming Liu, SCV-Stereo: Learning Stereo Matching from a Sparse Cost Volume, IEEE International Conference on Image Processing (ICIP), 2021 , Anchorage, USA.
Hengli Wang, Peide Cai, Rui Fan, Yuxiang Sun, Ming Liu, End-to-End Interactive Prediction and Planning with Optical Flow Distillation for Autonomous Driving, IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2021 , Virtual.
Jianhao Jiao, Huaiyang Huang, Liang Li, Zhijian He, Yilong Zhu, Ming Liu, Comparing Representations in Tracking for Event camera-Based SLAM, IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2021 , Virtual.
Yuxiang Sun, Weixun Zuo, Huaiyang Huang, Peide Cai, Ming Liu, PointMoSeg: Sparse Tensor-based End-to-End Moving-obstacle Segmentation in 3-D Lidar Point Clouds for Autonomous Driving, International Conference on Robotics and Automation (ICRA) 2021 , Xi An, China.
Haoyang Ye, Huaiyang Huang, Marco Hutter, Timothy Sandy, Ming Liu, 3D Surfel Map-Aided Visual Relocalization with Learned Descriptors, International Conference on Robotics and Automation (ICRA), 2021 , Xi An, China.
Jin Wu, Shuyang Zhang, yilong zhu, RUOYU GENG, Zhongtao Fu, Fulong Ma, Ming Liu, Differential Information Aided 3-D Registration for Accurate Navigation and Scene Reconstruction, International Conference on Robotics and Automation (ICRA), 2021 , Xi An, China.
Jianhao Jiao, yilong zhu, Haoyang Ye, Huaiyang Huang, Peng Yun, lingxin jiang, Lujia Wang, Ming Liu, Greedy-Based Feature Selection for Efficient LiDAR SLAM, International Conference on Robotics and Automation (ICRA) 2021 , Xi An, China.
Hengli Wang, Yuxiang Sun, Rui Fan, Ming Liu, S2P2: Self-Supervised Goal-Directed Path Planning using RGB-D Data for Robotic Wheelchairs, International Conference on Robotics and Automation (ICRA) 2021 , Xi An, China.
Hengli Wang, Peide Cai, Yuxiang Sun, Ming Liu, Learning Interpretable End-to-End Vision-based Motion Planning for Autonomous Driving with Optical Flow Distillation, International Conference on Robotics and Automation (ICRA), 2021 , Xi An, China.
Congcong LIU, Yuying Chen, Ming Liu, Bertram Emil Shi, AVGCN: Trajectory Prediction using Graph Convolutional Networks Guided by Human Attention, International Conference on Robotics and Automation (ICRA), 2021 , Xi An, China.
Zhenhua Xu, Yuxiang Sun, Ming Liu, iCurb: Imitation Learning-based Detection of Road Curbs using Aerial Images for Autonomous Driving, International Conference on Robotics and Automation (ICRA), 2021 , Xi An, China.
Yuxuan LIU, Lujia Wang, Ming Liu, YOLOStereo3D: A Step Back to 2D for Efficient Stereo 3D Detection, International Conference on Robotics and Automation (ICRA), 2021 , Xi An, China.
Yuxuan LIU, Ming Liu, Ground-aware Monocular 3D Object Detection for Autonomous Driving, International Conference on Robotics and Automation (ICRA), 2021 , Xi An, China.
Peng Yun, Ming Liu, In Defense of Knowledge Distillation for Task Incremental Learning and its Application in 3D Object Detection, International Conference on Robotics and Automation (ICRA), 2021 , Xi An, China.
Sukai Wang*, Peide Cai, Ming Liu, DiTNet: Real End-to-End 3D Object Detection and Tracking in Spatio-temporal World, International Conference on Robotics and Automation (ICRA), 2021 , Xi An, China.
Rui Fan\*, Hengli Wang\*, Bohuan Xue\*, Huaiyang Huang, Yuan Wang, Ming Liu, Ioannis Pitas, Three-Filters-to-Normal: An Accurate and Ultrafast Surface Normal Estimator, International Conference on Robotics and Automation (ICRA), 2021 , Xi An, China. (\* indicates equal contribution)
Hengli Wang\*, Rui Fan\*, Peide Cai, Ming Liu, PVStereo: Pyramid Voting Module for End-to-End Self-Supervised Stereo Matching, International Conference on Robotics and Automation (ICRA), 2021 , Xi An, China. (\* indicates equal contribution)
Ningning Ma, Xiangyu Zhang, Ming Liu, Jian Sun, Activate or Not: Learning Customized Activation, Computer Vision and Pattern Recognition (CVPR), 2021, Nashville, Tennessee, United States.

2020

Hengli Wang, Rui Fan, Ming Liu, CoT-AMFlow: Adaptive Modulation Network with Co-Teaching Strategy for Unsupervised Optical Flow Estimation, Conference on Robot Learning (CoRL), 2020, Cambridge MA, USA.
Hengli Wang*, Yuxuan Liu*, Huaiyang Huang*, Yuheng Pan*, Wenbin Yu, Jialin Jiang, Dianbin Lyu, Mohammud J. Bocus, Ming Liu, Ioannis Pitas, Rui Fan, ATG-PVD: Ticketing Parking Violations on A Drone, European Conference on Computer Vision (ECCV) Workshops, 2020, Glasgow, UK. (* indicates equal contribution)
Rui Fan*, Hengli Wang*, Mohammud J. Bocus, Ming Liu, We Learn Better Road Pothole Detection: from Attention Aggregation to Adversarial Domain Adaptation, European Conference on Computer Vision (ECCV) Workshops, 2020, Glasgow, UK. (* indicates equal contribution)
Yuying Chen*, Congcong Liu*, Bertram E. Shi, Ming Liu, CoMoGCN: Coherent Motion Aware Trajectory Prediction with Graph Representation, The British Machine Vision Conference (BMVC), 2020, Manchester, UK. (* indicates equal contribution)
Xuebin Sun*, Sukai Wang*, Miaohui Wang, Shing shin Cheng, Ming Liu, An Advanced LiDAR Point Cloud Sequence Coding Scheme for Autonomous Driving, ACM International Conference on Multimedia, 2020, Seattle, USA. (* indicates equal contribution)
Rui Fan*, Hengli Wang*, Peide Cai and Ming Liu, SNE-RoadSeg: Incorporating Surface Normal Information into Semantic Segmentation for Accurate Freespace Detection, European Conference on Computer Vision (ECCV), 2020, Glasgow, UK. (* indicates equal contribution)
Jianhao JIAO*, Peng Yun*, Lei Tai, Ming Liu, MLOD: Awareness of Extrinsic Perturbation in Multi-LiDAR 3D Object Detection for Autonomous Driving, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020, Las Vegas, USA. (* indicates equal contribution)
Peide Cai, Sukai Wang, Yuxiang Sun, Ming Liu, Probabilistic End-to-End Vehicle Navigation in Complex Dynamic Environments with Multimodal Sensor Fusion, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020, Las Vegas, USA.
Huaiyang Huang, Haoyang Ye, Yuxiang Sun, Ming Liu, GMMLoc: Structure Consistent Visual Localization with Gaussian Mixture Models, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020, Las Vegas, USA.
Hengli Wang*, Rui Fan*, Yuxiang Sun and Ming Liu, Applying Surface Normal Information in Drivable Area and Road Anomaly Detection for Ground Mobile Robots, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020, Las Vegas, USA. (* indicates equal contribution)
M Usman Maqbool Bhutta*, Shoaib Aslam, Peng Yun, Jianhao Jiao, Ming Liu, Smart-Inspect: Micro Scale Localization and Classification of Smart Phone Glass Defects for Industrial Automation, 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2020.
Shuyang Zhang, Di Wang, Fulong Ma, Chao Qin, Zhengyong Chen, Ming Liu, Robust Pedestrian Tracking in Crowd Scenarios using an Adaptive GMM-based Framework, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020, Las Vegas, USA.
Guisong Yang, Yanting Li, Yan Song, Jun Li, Xingyu He, Linghe Kong, Ming Liu, A Real-Time Recommendation Algorithm for Task Allocation in Mobile Crowd Sensing, 15th International Conference on Wireless Algorithms, Systems, and Applications, WASA 2020, Qingdao; China, 13 - 15 September 2020.
Boyi Liu, Lujia Wang, Ming Liu, Cheng-Zhong Xu, Federated Imitation Learning: A Novel Framework for Cloud Robotic Systems with Heterogeneous Sensor Data, International Conference on Robotics and Automation (ICRA), 2020 , Paris, France.
Sukai Wang, Yuxiang Sun, Chengju Liu, Ming Liu, PointTrackNet: An End-to-End Network for 3D Object Detection and Tracking from Point Cloud, International Conference on Robotics and Automation (ICRA), 2020 , Paris, France.
Chao Qin, Haoyang Ye, Christian Edwin Pranata, Jun Han, Shuyang Zhang, Ming Liu, LINS: Lidar-Inertial State Estimator for Robust and Efficient Navigation, International Conference on Robotics and Automation (ICRA), 2020 , Paris, France.
Haoyang Ye, Huaiyang Huang, Ming Liu, Monocular Direct Sparse Localization in a Prior 3D Surfel Map, International Conference on Robotics and Automation (ICRA), 2020, Paris, France.
Huaiyang Huang, Haoyang Ye, Yuxiang Sun and Ming Liu, Monocular Visual Odometry using Learned Repeatability and Description, International Conference on Robotics and Automation (ICRA), 2020 , Paris, France.
Qing Liang and Ming Liu, A Tightly Coupled VLC-Inertial Localization System by EKF, International Conference on Robotics and Automation (ICRA), 2020 , Paris, France.
Yuying Chen*, Congcong Liu*, Ming Liu, Bertram E. Shi, Robot Navigation in Crowds by Graph Convolutional Networks with Attention Learned from Human Gaze, International Conference on Robotics and Automation (ICRA RA-L submission), 2020 , Paris, France.
Peide Cai*, Xiaodong Mei*, Lei Tai, Yuxiang Sun, and Ming Liu, High-speed Autonomous Drifting with Deep Reinforcement Learning, International Conference on Robotics and Automation (ICRA RA-L submission), 2020 , Paris, France.

2019

Yilong Zhu, Dong Han, Bohuan Xue, Jianhao Jiao, ZuhaoZou, Ming Liu and Rui Fan, Road Curb Detection Using A Novel Tensor Voting Algorithm, Best Paper Finalist, 2019 IEEE International Conference on Robotics and Biomimetics (ROBIO 2019), 2019. Image
Yuxiang Sun, Lujia Wang, Yongquan Chen, and Ming Liu, Accurate Lane Detection with Atrous Convolution and Spatial Pyramid Pooling for Autonomous Driving, Best Paper Award, 2019 IEEE International Conference on Robotics and Biomimetics (ROBIO 2019), 2019. Image
Qing Liang, Jiahui Lin and Ming Liu, Towards Robust Visible Light Positioning Under LED Shortage by Visual-inertial Fusion, 2nd Runner-up, Best Paper Award, International Conference on Indoor Positioning and Indoor Navigation (IPIN 2019), Sep. 30- Oct. 03, 2019, Pisa, Italy
Peide Cai, Yuxiang Sun, Yuying Chen, Ming Liu, Vision-Based Trajectory Planning via Imitation Learning for Autonomous Vehicles, IEEE International Conference on Intelligent Transportation Systems (ITSC 2019), October 27-30, 2019, Auckland, New Zealand.
Huaiyang Huang Yuxiang Sun, Ming Liu, Reliable Monocular Visual SLAM in Rainy Urban Environments, IEEE Intelligent Transportation Systems Society Conference Management System (ITSC 2019), October 27-30, 2019, Auckland, New Zealand.
Huaiyang Huang, Yuxiang Sun, Haoyang Ye, Ming Liu, Metric Monocular Localization using Signed Distance Field-based Maps, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2019), November 4-8, 2019, Macau, China.
Yang Yu, Wenliang Gao, Chengju Liu, Shaojie Shen, Ming Liu, A GPS-aided Omnidirectional Visual-Inertial State Estimator in Ubiquitous Environments, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), November 4-8, 2019, Macau, China.
Jianhao Jiao, Yang Yu, Qinghai Liao, Haoyang Ye, Ming Liu, Automatic Calibration of Multiple 3D LiDARs in Outdoor Environment, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2019), November 4-8, 2019, Macau, China.
Lei Tai, Peng Yun, Yuying Chen, Congcong Liu, Haoyang Ye, Ming Liu, Visual-based Autonomous Driving Deployment from a Stochastic and Uncertainty-aware Perspective, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2019), November 4-8, 2019, Macau, China.
Yuying Chen*, Congcong Liu*, Lei Tai, Ming Liu, Bertram E. Shi, Gaze Training by Modulated Dropout Improves Imitation Learning. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2019), November 4-8, 2019, Macau, China.
Congcong Liu*, Yuying Chen*, Lei Tai, Ming Liu, Bertram E. Shi, Utilizing Eye Gaze to Enhance the Generalization of Imitation Network to Unseen Environments, ICML 2019 workshop on Understanding and Improving Generalization in Deep Learning, June 9-15, 2019, Long Beach, USA (* indicates equal contribution)
Zhengyong Chen, Qinghai Liao, Zhe Wang, Yang Liu, Ming Liu, Image Detector Based Automatic 3D Data Labeling and Training for Vehicle Detection on Point Cloud, 2019 IEEE Intelligent Vehicles Symposium (IEEE-IV), June 9-12, 2019, Paris, France
Rui Fan*, Mohammud Junaid Bocus*, Yilong Zhu, Jianhao Jiao, Li Wang, Fulong Ma, Shanshan Cheng, Ming Liu, Road Crack Detection Using Deep Convolutional Neural Network and Adaptive Thresholding, 2019 IEEE Intelligent Vehicles Symposium (IEEE-IV), June 9-12, 2019, Paris, France
Jianhao Jiao*, Qinghai Liao*, Yilong Zhu, Tianyu Liu, Yang Yu, Rui Fan, Lujia Wang, Ming Liu, A Novel Dual-Lidar Calibration Algorithm Using Planar Surfaces, 2019 IEEE Intelligent Vehicles Symposium (IEEE-IV), June 9-12, 2019, Paris, France
Rui Fan, Jianhao Jiao, Jie Pan, Huaiyang Huang, Shaojie Shen, Ming Liu, Real-Time Dense Stereo Embedded in A UAV for Road Inspection, In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, June 16-20, 2019, Long Beach, USA
Linwei Zheng, Yilong Zhu, Bohuan Xue, Ming Liu and Rui Fan, "Low-Cost GPS-Aided LiDAR State Estimation and Map Building", 2019 IEEE International Conference on Imaging Systems and Techniques (IST).
Bohuan Xue, Jianhao Jiao, Yilong Zhu, Linwei Zheng, Dong Han, Ming Liu and Rui Fan, "Automatic Calibration of Dual-LiDARs Using Two Poles Stickered with Retro-Reflective Tape", 2019 IEEE International Conference on Imaging Systems and Techniques (IST).
Yilong Zhu, Bohuan Xue, Linwei Zheng, Huaiyang Huang, Ming Liu and Rui Fan, "Real-Time, Environmentally-Robust 3D LiDAR Localization", 2019 IEEE International Conference on Imaging Systems and Techniques (IST).
Rui Fan, Jianhao Jiao, Haoyang Ye, Yang Yu, Ioannis Pitas, Ming Liu, Key Ingredients of Self-Driving Cars, In 2019 European Signal Processing Conference Satellite Workshop: Signal Processing Computer vision and Deep Learning for Autonomous Systems. IEEE.
Congcong Liu*, Yuying Chen*, Lei Tai, Haoyang Ye, Ming Liu, Bertram E. Shi, A Gaze Model Improves Autonomous Driving, ACM Symposium on Eye Tracking Research & Applications (ETRA), June 25-28, 2019, Denver, USA (* indicates equal contribution) (acceptance ratio 37.9%)
Jianhao Jiao, Rui Fan, Han Ma, Ming Liu, Using DP Towards A Shortest Path Problem-Related Application, International Conference on Robotics and Automation (ICRA), May 20-24, 2019, Montreal, Canada
Haoyang Ye, Yuying Chen and Ming Liu, Tightly Coupled 3D Lidar Inertial Odometry and Mapping, International Conference on Robotics and Automation (ICRA), May 20-24, 2019, Montreal, Canada
Peng Yun, Lei Tai, Yuan Wang, Chengju Liu, Ming Liu, Focal Loss in 3D Object Detection, International Conference on Robotics and Automation (ICRA RA-L submission), May 20-24, 2019, Montreal, Canada,

2018

Yuxuan Liu, Lujia Wang and Ming Liu, Real Time Probabilistic Mapping for Sonar Sensor by Optimization, IEEE International Conference on Robotics and Biomimetics (ROBIO 2018), Dec 12-15, 2018, Malaysia
Qinghai LIAO, Zhenyong Chen, Yang LIU, Zhe Wang and Ming LIU, Extrinsic Calibration of Lidar and Camera with Polygon, IEEE International Conference on Robotics and Biomimetics (ROBIO 2018), Dec 12-15, 2018, Malaysia
Yanan Liu, Rui Fan, Bin Yu, M. Junaid Bocus, Ming Liu, Hepeng Ni, Jiahe Fan, Shixin Mao, Mobile Robot Localisation and Navigation Using LEGO NXT and Ultrasonic Sensor, IEEE International Conference on Robotics and Biomimetics (ROBIO 2018), Dec 12-15, 2018, Malaysia
Yuying Chen, Ming Liu, and Lujia Wang, RRT* Combined with GVO for Real-time Nonholonomic Robot Navigation in Dynamic Environment, IEEE International Conference on Real-time Computing and Robotics (RCAR), August 1-5, 2018, Kandima, Maldives
Zhe Wang, Yang Liu, Qinghai Liao, Haoyang Ye, Ming Liu and Lujia Wang, Characterization of a RS-LiDAR for 3D Perception, IEEE International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER), July 19-23, 2018, Tianjin, China
Muhammad Usman Maqbool Bhutta, Ming Liu, PCR-Pro - 3D Sparse and Different Scale Point Clouds Registration and Robust Estimation of Information Matrix For Pose Graph SLAM, IEEE International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER), Finalist for Best Paper Award, July 19-23, 2018, Tianjin, China telligent Systems (CYBER), July 19-23, 2018, Tianjin, China
Qing Liang, Lujia Wang, Youfu Li, Ming Liu, Indoor Mapping and Localization for Pedestrians using Opportunistic Sensing with Smartphones, Finalist of ABB Best Student Paper Award IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2018)
Qing Liang, Lujia Wang, Youfu Li, Ming Liu, Plugo: a Scalable Visible Light Communication System towards Low-cost Indoor Localization, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2018)
Lei Tai, Jingwei Zhang, Ming Liu, Wolfram Burgard, Socially Compliant Navigation through Raw Depth Inputs with Generative Adversarial Imitation Learning, International Conference on Robotics and Automation (ICRA), May 21-25, 2018, Brisbane, Australia,
Oleksii Zhelo, Jingwei Zhang, Lei Tai, Ming Liu, Wolfram Burgard, Curiosity-driven Exploration for Mapless Navigation with Deep Reinforcement Learning, ICRA 2018 Workshop on Machine Learning in Planning and Control of Robot Motion, May 21, 2018, Brisbane, Australia,

2017

Yandong Liu, Lujia Wang, and Cheng-zhong Xu, Ming Liu, A Novel Swarm Robot Simulation Platform for Warehousing Logistics, IEEE International Conference on Robotics and Biomimetics (ROBIO), December 5-8, 2017, Macau, China.
Lei Tai, Giuseppe Paolo, Ming Liu, Virtual-to-real Deep Reinforcement Learning: Continuous Control of Mobile Robots for Mapless Navigation, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), September 24-28, 2017, Vancouver, Canada.

Lujia Wang, Yinting Luo, Luyu Wang and Ming Liu, Point-cloud Compression Using Data Independent Method - A 3D Discrete Cosine Transform Approach, IEEE International Conference Information and Automation (ICIA) Best Paper in Automation Award, July 18-20, 2017, Macau, China

Lei Tai, Haoyang Ye, Qiong Ye, Ming Liu, PCA-aided Fully Convolutional Networks for Semantic Segmentation of Multi-channel fMRI, IEEE International Conference on Advanced Robotics (ICAR) Best Student Paper Award, July 10-12, 2017, Hong Kong, China.
Sukai Wang, Huaiyang Huang, Ming Liu, Simultaneous clustering classification and tracking on point clouds using Bayesian filter, 2017 IEEE International Conference on Robotics and Biomimetics (ROBIO), Macau, China
Dejun Guo, Hesheng Wang, Weidong Chen, Ming Liu, Zeyang Xia, Kam K. Leang (2017): A Unified Leader-Follower Scheme for Mobile Robots with Uncalibrated On-board Camera. IEEE International Conference on Robotics and Automation (ICRA), Sands Expo and Convention Centre, Marina Bay Sands in Singapore, May 29 - June 3, 2017
Peng Yun, Jianhao Jiao and Ming Liu, Towards a Cloud Robotics Platform for Distributed Visual SLAM, International Conference on Computer Vision Systems, ICVS 2017, July 10-13, China
Qinghai LIAO, Ming Liu, Wenchong Zhang and Peng Shi, Visual Tracking and Servoing System for Experiment of Optogenetic Control of Brain Acitivity, International Conference on Computer Vision Systems, ICVS 2017, July 10-13, China
Hui Zhang, Xiangwei Wang, Xiaoguo Du, Ming Liu and Qijun Chen, Dynamic Environments Localization via Dimensions Reduction of Deep Learning Features, International Conference on Computer Vision Systems, ICVS 2017, July 10-13, China
Jianhao Jiao, Peng Yun and Ming Liu, A Cloud-Based Visual SLAM framework for Low-Cost Agents, International Conference on Computer Vision Systems, ICVS 2017, July 10-13, China
Tianwei Li, Steve Hailes, Simon Julier, Ming Liu, UAV-Based SLAM and 3D Reconstruction System, Proceedings of the IEEE International Conference on Robotics and Biomimetics, (ROBIO) 2017
Yuxiang Sun, Ming Liu, Max Q. H-. Meng, Invisibility: A Moving-object Removal Approach for Dynamic Scene Modelling using RGB-D Camera, Proceedings of the IEEE International Conference on Robotics and Biomimetics, (ROBIO) 2017

2016

Weibin Wu, Deli Wang, Tianyunyang Wang, Ming Liu, A Personalized Limb Rehabilitation Training System for Stroke Patients, Proceedings of the IEEE International Conference on Robotics and Biomimetics, (ROBIO) 2016.
Shiling Wang, Francis Colas, Ming Liu, Francesco Mondada, Stéphane Magnenat, Localization of inexpensive robots with low-bandwidth sensors, 13th International Symposium on Distributed Autonomous Robotic Systems, (DARS) 2016.
Lei Tai, Shaohua Li, and Ming Liu, A Deep-network Solution Towards Model-less Obstacle Avoidance, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Daejeon, Korea, 2016.
Qinghai Liao, Ming Liu, Peng Shi and Wencong Zhang, A Flexible Object Tracking System for Planary Motion, IEEE International Conference on Real-time Computing and Robotics, (RCAR) 2016, June 6-10, 2016, Angkor Wat, Cambodia.
Lei Tai and Ming Liu, A Robot Exploration Strategy Based on Q-learning Network, IEEE International Conference on Real-time Computing and Robotics, (RCAR) 2016, June 6-10, 2016, Angkor Wat, Cambodia.
Yanpeng Liu, Yuwen Cao, Yibin Li, Ming Liu, Rui Song, Yafang Wang, Zhigang Xu and Xin Ma, Facial Expression Recognition with PCA and LBP Features Extracting from Active Facial Patches, IEEE International Conference on Real-time Computing and Robotics, (RCAR) 2016, June 6-10, 2016, Angkor Wat, Cambodia.
Isaac Deutsch, Ming Liu and Roland Siegwart, A Framework for Multi-Robot Pose Graph SLAM, IEEE International Conference on Real-time Computing and Robotics, (RCAR) 2016, June 6-10, 2016, Angkor Wat, Cambodia.

2015

Gianni, M. Kruijff-Korbayova, I. Worst, R. and the NIFTi Project Team. Human-robot teaming in disaster response - a user-centric approach. In Proceedings of the ICRA 2015 Workshop on Robotics & Automation Technologies for Humanitarian Applications: Where we are & Where we can be. Seattle, Washington, May 2015.
Fangyi Zhang, Kejie Qiu, Ming Liu, Asynchronous Blind Signal Decomposition Using Tiny-Length Code for Visible Light Communication-Based Indoor Localization, IEEE International Conference on Robotics and Automation (ICRA), 2015, ,
Wenxin Liu, Shuo Yang, Ming Liu, A 6D-pose estimation method for UAV using known lines, IEEE International Conference on CYBER Technology in Automation, Control and Intelligent Systems, Best Conference Paper Award, IEEE-CYBER 2015, , Youtube
Shaohua Li, Huimin Huang, Yue Zhang, Ming Liu, An Efficient Multi-scale Convolutional Neural Network for Image Classification Based on PCA, Invited Paper for the 2015 International Conference on Real-time Computing and Robotics (RCAR 2015), Finalist for Best Student Paper Award, June 23-26, 2015, Changsha, China, ,
Kejie Qiu, Fangyi Zhang, Ming Liu, Visible Light Communication-based Indoor Localization using Gaussian Process, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Hamburg, Germany, 2015,
Kejie Qiu, Fangyi Zhang, Ming Liu, Visible Light Communication-based Indoor Localization and Metric-free Path Planning, IEEE International Conference on Automation Science and Engineering (CASE), Gothenburg, Sweden, 2015
Guoyang Xie, Tao Xu, Carsten Isert, Michael Aeberhard, Shaohua Li, Ming Liu, Online Active Calibration for a Multi-LRF System, IEEE 18th International Conference on Intelligent Transportation Systems (ITS), 2015,
Ming Liu, Kejie Qiu, Fangyi Zhang, Visible Light Communication-aided Real-time Indoor Localization, Invited Paper for the 2015 International Conference on Real-time Computing and Robotics (RCAR 2015), June 23-26, 2015, Changsha, China
Ming Liu, ROS for multiple robot applications, Invited Tutorial for the 2015 International Conference on Real-time Computing and Robotics (RCAR 2015), June 23-26, 2015, Changsha, China
Hao Chen, Panbing Wang, Ming Liu, From Co-saliency Detection to Object Co-segmentation: A unified Multi-stage Low-rank Matrix Recovery Approach, in Proceedings of the IEEE International Conference on Robotics and Biomimetics, (ROBIO) 2015.
Yuxiang Sun, Ming Liu, et al., Motion Removal from Moving Platforms: An RGB-D Data-based Motion Detection, Tracking and Segmentation Approach, in Proceedings of the IEEE International Conference on Robotics and Biomimetics, Best Conference Paper Finalist, (ROBIO) 2015.

2014

Ming Liu, Roland Siegwart, Navigation on Point-cloud - a Riemannian Metric approach, IEEE International Conference on Robotics and Automation (ICRA), 2014,
Ming Liu, Kejie Qiu, Shaohua Li, Fengyu Che, Liang Wu, C. Patrick Yue, Towards Indoor Localization using Visible Light Communication for Consumer Electronic Devices, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2014,
Matthew Tan, Lujia Wang, Danilo Tardioli, Ming Liu, A Resource Allocation Strategy in a Robotic Ad-Hoc Network, In Proceedings of the Robotica 2014 (Selected for journal publication), IEEE ICARSC
Lujia Wang, Ming Liu, et al, Hierarchical Auction-based Mechanism for Real-time Resource Retrieval in Cloud Mobile Robotic System, 2014 IEEE International Conference on Robotics and Automation (ICRA)
Ming Liu, Efficient Segmentation and Plane Modeling of point-cloud for structured environment by Normal Clustering and Tensor Voting, in Proceedings of the IEEE International Conference on Robotics and Biomimetics, (ROBIO) 2014.
Yuxiang Sun, Ming Liu, et. al., WiFi Signal Strength-based Robot Indoor Localization, IEEE International Conference on Information and Automation, ICIA 2014.

2013

Ming Liu, Bekir Tufan Alper, Roland Siegwart, An adaptive descriptor for uncalibrated omnidirectional images - towards scene reconstruction by trifocal tensor, IEEE International Conference on Robotics and Automation (ICRA), 2013.
Ming Liu, Roland Siegwart, Information Theory based Validation for Point-cloud Segmentation aided by Tensor Voting, Best Paper in Information IEEE International Conference on Information and Automation (ICIA), 2013.
Matthew Tan, Ming Liu and Roland Siegwart, An Experimental Evaluation of the RT-WMP Routing Protocol in an Indoor Environment, Best Paper Finalist IEEE International Conference on Information and Automation (ICIA), 2013.
Francis Colas, Srivatsa Mahesh, Francois Pomerleau, Ming Liu, Roland Siegwart, 3D Path Planning and Execution for Search and Rescue Ground Robots, Best RoboCup Paper Award IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2013.
Lujia Wang, Ming Liu, et al, An Auction-based Resource Allocation Strategy for Joint-surveillance using Networked Multi-Robot Systems, 2013 IEEE International Conference on Information and Automation (ICIA)
Jie Song, Ming Liu, A Hidden Markov Model approach for Voronoi Localization, in Proceedings of the IEEE International Conference on Robotics and Biomimetics (ROBIO), 2013.
Shengdong Xu, Ming Liu, Feature Selection and Pose Estimation From Known Planar Objects Using Monocular Vision, in Proceedings of the IEEE International Conference on Robotics and Biomimetics (ROBIO), 2013.

2012

Ming Liu, Roland Siegwart, DP-FACT: Towards topological mapping and scene recognition with color for omnidirectional camera, IEEE International Conference on Robotics and Automation (ICRA), 2012.
Ming Liu, Cedric Pradalier, Francois Pomerleau, Roland Siegwart, Scale-only Visual Homing from an Omnidirectional Camera, IEEE International Conference on Robotics and Automation (ICRA), 2012.
Ming Liu, Lujia Wang, Roland Siegwart, DP-Fusion: A generic framework for online multi sensor recognition, Best Student Paper Award, IEEE International Conference on Multisensor Fusion and Information Integration (MFI), 2012.
Geert-Jan Kruijff, Miroslav Janicek, Shanker Keshavdas, Benoit Larochelle, Hendrik Zender, Nanja Smets, Tina Mioch, Mark Neerincx, Jurriaan van Diggelen, Francis Colas, Ming Liu, Francois Pomerleau, Roland Siegwart, Vaclav Hlavac, Tomas Svoboda, Tomas Petricke, Michael Reinstein, Karel Zimmerman, Fiora Pirri and Mario Gianni, Experience in System Design for Human-Robot Teaming in Urban Search & Rescue, International Conference on Field and Service Robotics (FSR), 2012.
Lujia Wang, Ming Liu, and Roland Siegwart, Towards Real- time Multi Sensor Information Retrieval in Cloud Robotic System, Best Paper Finalist. IEEE International Conference on Multisensor Fusion and Information Integration MFI, 2012.
S. Keshavdas, H. Zender, GJM Kruijff, Ming Liu, Francis Colas, Functional mapping: Spatial inferencing to aid human-robot rescue efforts in unstructured disaster environments, AAAI Spring Symposium on Designing Intelligent Robots, 2012.
Francois Pomerleau, Andreas Breitenmoser, Ming Liu, Francis Colas, Roland Siegwart, Noise Characterization of Depth Sensors for Surface Inspections, International Conference on Applied Robotics for the Power Industry (CARPI), 2012.
Ming Liu, Cedric Pradalier, Francois Pomerleau, Roland Siegwart, The Role of Homing in Visual Topological Navigation, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2012.
Ming Liu, Francis Colas, Francois Pomerleau, Roland Siegwart, A Markov Semi-Supervised Clustering Approach and Its Application in Topological Map Extraction, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2012.
Ming Liu, Francois Pomerleau, Francis Colas and Roland Siegwart, Normal Estimation for Pointcloud using GPU based Sparse Tensor Voting, IEEE International Conference on Robotics and Biomimetics (ROBIO), 2012.
Lujia Wang, Ming Liu, et al., Towards Cloud Robotic System: A case Study of Online Co-localization for Fair Resource Competence, 2012 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2012.

2011

Ming Liu, Francis Colas and Roland Siegwart, Regional topological segmentation based on Mutual Information Graphs, IEEE International Conference on Robotics and Automation (ICRA), 2011.
Mario Gianni, Panagiotis Papadakis, Fiora Pirri, Ming Liu, Francois Pomerleau, Francis Colas, Karel Zimmermann, Tomas Svoboda, Tomas Petricek, Geert Kruijff, Hendrik Zender and Harmish Khambhaita, A unified framework for planning and execution-monitoring of mobile robots, The AAAI-11 Workshop on Automated Action Planning for Autonomous Mobile Robots (AAAI PAMR), 2011.
Francois Pomerleau, Benoit Lescot, Francis Colas, Ming Liu and Roland Siegwart, Dataset acquisitions for USAR environments , AAAI 2011 Fall Symposium on Robot-Human Team-Work in Dynamic Adverse Environments (AAAI RHTDAE), 2011.
Francois Pomerleau, Stephane Magnenat, Francis Colas, Ming Liu, Roland Siegwart, Tracking a Depth Camera: Parameter Exploration for Fast ICP, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2011.

2010

Ming Liu, Cedric Pradalier, Roland Siegwart and Qijun Chen, A Bearing-only 2D/3D-homing method under a visual servoing framework, IEEE International Conference on Robotics and Automation (ICRA), 2010.

2009

Ming Liu, Davide Scaramuzza, Cedric Pradalier, Roland Siegwart and Qijun Chen, Scene Recognition with Omnidirectional Vision for Topological Map using Lightweight Adaptive Descriptors, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2009.

Recent Preprints

Jingwei Zhang, Lei Tai, Joschka Boedecker, Wolfram Burgard, Ming Liu, Neural SLAM: Learning to Explore with External Memory, arXiv 1706.09520.
Qinghai Liao, Ming Liu, Lei Tai, Haoyang Ye, Extrinsic Calibration of 3D Range Finder and Camera without Auxiliary Object or Human Intervention, arXiv 1703.04391.
Lei Tai*, Jingwei Zhang*, Ming Liu, Joschka Boedecker, Wolfram Burgard, A Survey of Deep Network Solutions for Learning Control in Robotics: From Reinforcement to Imitation. arxiv 1612.07139. (* indicates equal contribution).
Lei Tai, Ming Liu, Towards Cognitive Exploration through Deep Reinforcement Learning for Mobile Robots, arxiv 1610.01733.

Reports

Qing Liang and Ming Liu, Technical Report: A Tightly Coupled VLC-Inertial Localization System by EKF, TechReport
Supplement file of VR-Goggles for Robots: Real-to-sim Domain Adaptation for Visual Control, 2018
Towards Dynamic Object Detection using Key-point matching and Superpixel Segmentation
TechReport: Asychronous Blind Signal Decomposition Using Tiny-Length Code for Visible Light Communication-Based Indoor Localization
A Technical Report on Deep Visual Homing through Omnidirectional Camera, 2016

Robotics and Multi-Perception Lab, Robotics Institute, HKUST

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