Papers
10
Total Citations
234
H-Index
8
About
Dr. Jiayuan Li is a leading researcher in robotics and autonomous systems, whose work fundamentally advances how machines perceive and navigate the world. His primary research areas encompass 3D LiDAR SLAM, point cloud registration, and LiDAR-based place recognition for autonomous driving. Dr. Li’s major contributions include a comprehensive survey on 3D LiDAR SLAM (65 citations) that has become a foundational reference for the field, and the development of a robust symmetric iterative closest point algorithm (64 citations) that significantly improves point cloud alignment accuracy. His work on RANSAC-based outlier removal has achieved state-of-the-art performance in real-time 3D registration, while his LiDAR localization method operates at an impressive 100 FPS, balancing speed and precision for real-world autonomous driving applications. With over 200 total citations across his publications, Dr. Li has also contributed a novel robust estimation model for robot vision and photogrammetry, addressing fundamental challenges in geometric model estimation with outliers. His research continues to push the boundaries of reliable, efficient perception for unmanned systems.
Research Focus
Key Achievements
Top Papers
- 1<scp>3D LiDAR SLAM</scp>: A survey65 citations · 2024
- 2Robust symmetric iterative closest point64 citations · 2022
- 3LiDAR-Based Place Recognition For Autonomous Driving: A Survey37 citations · 2024
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- 8LiDAR-Based Place Recognition For Autonomous Driving: A Survey10 citations · 2023
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