Yuxiang Sun (Chinese: 孫宇翔)

yuxiang_sun 

Research Associate
Robotics and Multi-Perception Lab
HKUST Robotics Institute
Department of Electronic and Computer Engineering
The Hong Kong University of Science and Technology
Address: Room 2008, Cheng Yu Tung Building, HKUST,
Clear Water Bay, Kowloon, Hong Kong.
Google scholar, LinkedIn, ORCID, GitHub
Email: eeyxsun@ust.hk, sun.yuxiang@outlook.com

Biography

I am currently a research associate with the Robotics and Multi-Perception Lab directed by Prof. Ming Liu, at the Robotics Institute, Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology (HKUST). I received my Ph.D degree from The Chinese University of Hong Kong (CUHK) under the supervision of Prof. Max Qing-Hu Meng in 2017. I received my master's degree from the University of Science and Technology of China (USTC), and my bachelor's degree from Hefei University of Technology (HFUT) in 2012 and 2009, respectively. I am a recipient of the Best Paper award at the IEEE-ROBIO 2019 conference, and the Best Student Paper Finalist award at the IEEE-ROBIO 2015 conference.

Research Interests

Autonomous Driving, Deep Learning, Robotics and Autonomous Systems, Semantic Scene Understanding, Moving-object Detection, Robotic Navigation, Localization, Mapping and Exploration, etc.

News

  • Sep. 2020: One project got supported by the National Natural Science Foundation of China (NSFC).

  • Jul. 2020: I was invited to give a talk at The Hong Kong Polytechnic University (HK PolyU).

  • Feb. 2020: My RAS paper published in 2017 got on the Most Cited Paper in this journal.

  • Dec. 2019: I received the Best Paper award at the 2019 IEEE International Conference on Robotics and Biomimetics (ROBIO).

  • Nov. 2019: I served as a session chair at the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Grants

  • Young Scientists Fund of the National Natural Science Foundation of China (NSFC) (国家自然科学基金青年科学基金项目), CNY 240,000, 2021-2023, PI.

Selected Publications (RAL:8, TASE: 4, RAS: 2):

  1. 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 (RAL), vol. 5, no. 2, pp. 3066–3073, 2020. Bibtex Video PDF

  2. Yuxiang Sun, Weixun Zuo, Peng Yun, Hengli Wang, and Ming Liu, “FuseSeg: Semantic Segmentation of Urban Scenes Based on RGB and Thermal Data Fusion,” IEEE Transactions on Automation Science and Engineering (TASE), 2020 (Early Access). Bibtex Video PDF

  3. Qi Chen, Yuxiang Sun, Min Zhao, and Ming Liu, “Consensus-Based Cooperative Formation Guidance Strategy for Multiparafoil Airdrop Systems,” IEEE Transactions on Automation Science and Engineering (TASE), 2020 (Early Access). Bibtex PDF

  4. Huaiyang Huang, Haoyang Ye, Yuxiang Sun, and Ming Liu, “GMMLoc: Structure Consistent Visual Localization With Gaussian Mixture Models,” IEEE Robotics and Automation Letters (RAL), vol. 5, no. 4, pp. 5043–5050, 2020. Code Bibtex Video PDF

  5. Peide Cai, Sukai Wang, Yuxiang Sun, and Ming Liu, “Probabilistic End-to-End Vehicle Navigation in Complex Dynamic Environments With Multimodal Sensor Fusion,” IEEE Robotics and Automation Letters (RAL), vol.5, no.3, pp.4218–4224, 2020. Bibtex Page Video PDF

  6. Sukai Wang, Yuxiang Sun, Chengju Liu, and Ming Liu, “PointTrackNet: An End-to-End Network For 3-D Object Detection and Tracking From Point Clouds,” IEEE Robotics and Automation Letters (RAL), vol. 5, no. 2, pp. 3206–3212, 2020. Bibtex Video PDF

  7. Peide Cai, Xiaodong Mei, Lei Tai, Yuxiang Sun, and Ming Liu, “High-Speed Autonomous Drifting With Deep Reinforcement Learning,” IEEE Robotics and Automation Letters (RAL), vol. 5, no. 2, pp. 1247–1254, 2020. Code Bibtex Video PDF

  8. Hengli Wang, Rui Fan, Yuxiang Sun, and Ming Liu, “Applying Surface Normal Information in Drivable Area and Road Anomaly Detection for Ground Mobile Robots,” in 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020.

  9. Huaiyang Huang, Haoyang Ye, Yuxiang Sun, and Ming Liu, “Monocular Visual Odometry using Learned Repeatability and Description,” in 2020 IEEE International Conference on Robotics and Automation (ICRA), 2020, pp. 8913–8919. Bibtex Video PDF

  10. Jin Wu, Yuxiang Sun, Miaomiao Wang, and Ming Liu, “Hand-Eye Calibration: 4-D Procrustes Analysis Approach,” IEEE Transactions on Instrumentation and Measurement (TIM), vol. 69, no. 6, pp. 2966–2981, 2020. Code Bibtex Video PDF

  11. Yuxiang Sun, Weixun Zuo, and Ming Liu, “RTFNet: RGB-Thermal Fusion Network for Semantic Segmentation of Urban Scenes,” IEEE Robotics and Automation Letters (RAL), vol. 4, no. 3, pp. 2576–2583, 2019. Code Bibtex PDF

  12. Yuxiang Sun, Ming Liu, and Max Qing-Hu Meng, “Active Perception for Foreground Segmentation: An RGB-D Data-Based Background Modeling Method,” IEEE Transactions on Automation Science and Engineering (TASE), vol. 16, no. 4, pp. 1596–1609, 2019. Bibtex Video PDF

  13. Yuxiang Sun, Lujia Wang, Yongquan Chen, and Ming Liu, “Accurate Lane Detection with Atrous Convolution and Spatial Pyramid Pooling for Autonomous Driving,” in 2019 IEEE International Conference on Robotics and Biomimetics (ROBIO), Dec. 2019, pp. 642–647. Bibtex PDF (Best Paper in Robotics!)

  14. 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 (RAL), vol. 4, no. 4, pp. 4386–4393, 2019. Bibtex PDF

  15. Xuebin Sun, Han Ma, Yuxiang Sun, and Ming Liu, “A Novel Point Cloud Compression Algorithm Based On Clustering,” IEEE Robotics and Automation Letters (RAL), vol. 4, no. 2, pp. 2132–2139, 2019. Bibtex PDF

  16. Huaiyang Huang, Yuxiang Sun, Haoyang Ye, and Ming Liu, “Metric Monocular Localization Using Signed Distance Fields,” in 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Nov. 2019, pp. 1195–1201. Bibtex PDF

  17. Chaoqun Wang, Wenzheng Chi, Yuxiang Sun, and Max Qing-Hu Meng, “Autonomous Robotic Exploration by Incremental Road Map Construction,” IEEE Transactions on Automation Science and Engineering (TASE), vol. 16, no. 4, pp. 1720–1731, 2019. Bibtex Video PDF

  18. Yuxiang Sun, Ming Liu, and Max Qing-Hu Meng, “Motion removal for reliable RGB-D SLAM in dynamic environments,” Robotics and Autonomous Systems (RAS), vol. 108, pp. 115–128, 2018. Bibtex Video PDF

  19. Yuxiang Sun, Ming Liu, and Max Qing-Hu Meng, “Improving RGB-D SLAM in dynamic environments: A motion removal approach,” Robotics and Autonomous Systems (RAS), vol. 89, pp. 110–122, 2017. Bibtex PDF (Most Cited Paper in this journal!)

  20. Yuxiang Sun, Ming Liu, and Max Qing-Hu Meng, “Motion removal from moving platforms: An RGB-D data-based motion detection, tracking and segmentation approach,” in 2015 IEEE International Conference on Robotics and Biomimetics (ROBIO), Dec. 2015, pp. 1377–1382. Bibtex PDF (Best Student Paper Finalist!)

Full list of publications