Date: 15 March 2024, Friday
Time: 4:30pm
Venue: CD634, The Hong Kong Polytechnic University
Zoom Meeting ID: 383 735 6917
Password: 274320
Speaker: Dr Rui Song, The Hong Kong Polytechnic University
Intelligent Perception and Trustworthy Navigation for Ground Vehicles in Challenging Environments
Dr Rui Song, The Hong Kong Polytechnic University
Abstract:The advancement of Simultaneous Localization and Mapping (SLAM) technology, along with the measurement technique, has greatly enhanced the applications of Autonomous Driving and Unmanned Ground Vehicles in modern society. However, the current strategy faces challenges when operating in some complex environments, particularly those with uneven terrain and sparse features. In this talk, the latest developments will be reviewed with an emphasis on the environment perception approach and an integrated navigation system framework. After that, some of our recent works on LiDAR-based perception and Kalman filter-based estimators will be presented, so as to improve the estimation accuracy of vehicle states and navigation trustworthiness. In addition, simulation and field tests were implemented to validate the effectiveness of the methods. In the future, the designed framework will be extended to encompass V2X applications and address safety concerns within digital twin-based systems.
Speaker’s Bio: Rui Song is currently a post-doctoral research associate at the Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University. He received the Ph.D. degree in Instrument Science and Technology from Southeast University in 2018. He was a Visiting Scholar at the Department of Electronic, Electrical and Systems Engineering, University of Birmingham, U.K. from 2016-2017. His research interests include multi-sensor fusion and intelligent navigation for unmanned systems.
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