Ziyang Hong

Research project title: 
Large-Scale Radar-based Localization in All Weathers
Research project: 

Selected publications: RadarSLAM: Large-Scale Radar SLAM in All Weathers: Paper link: http://ras.papercept.net/images/temp/IROS/files/1795.pdf Project page: http://pro.hw.ac.uk/research/radarslam/ Accepted in International Conference on Intelligent Robots and Systems (IROS) 2020, Las Vegas, USA RadarSLAM: A robust simultaneous localization and mapping system for all weather conditions Accepted to The International Journal of Robotics Research (IJRR), 2022 Paper link: https://journals.sagepub.com/doi/full/10.1177/02783649221080483 Large-Scale Radar Localization using Online Public Maps Accepted in IEEE International Conference on Robotics and Automation (ICRA) 2023, London, UK Paper link: https://ieeexplore.ieee.org/document/10160730 Other publications: CURL: Continuous, Ultra-compact Representation for LiDAR, Kaicheng Zhang, Ziyang Hong, Shida Xu and Sen Wang, Proceedings of Robotics: Science and Systems, 2022 Paper link: https://www.roboticsproceedings.org/rss18/p005.pdf Observability-Aware Active Extrinsic Calibration of Multiple Sensors Shida Xu, Jonatan Scharff Willners, Ziyang Hong, Kaicheng Zhang, Y. R. Petillot1, Sen Wang Accepted in IEEE International Conference on Robotics and Automation (ICRA) 2023, London, UK Paper link: https://ieeexplore.ieee.org/document/10160636

About me: 

I received my PhD from Institute of Sensors, Signals, and Systems, Heriot-Watt University in April, 2023. I was supervised by Dr. Sen Wang and Prof. Yvan Petillot. I received my Master of Vision and Robotics (VIBOT ) from Burgundy University (France), University of Girona (Spain) and Heriot-Watt University (UK) respectively. I also had an internship stay at the research team RITS-INRIA, Paris. Back then I was supervised by Dr. Raoul de Charette and Dr. Fawzi Nashashibi. My research interests focus on Simultaneous Localization and Mapping (SLAM), mobile robot navigation and visual navigation.

Student type: 
Aligned student