Yihang Li
Papers
1
Total Citations
60
H-Index
1
About
Yihang Li is a leading researcher in robotics and autonomous perception, specializing in real-time dynamic environment understanding. Their key contributions center on moving event detection from LiDAR point streams, a critical capability for robots operating in rapidly changing settings. Li’s most-cited work, "Moving event detection from LiDAR point streams" (2024, 60 citations), introduces a novel framework that enables instantaneous detection of moving events with microsecond-level latency—traditionally achieved only with event cameras. By leveraging LiDAR’s dense and accurate spatial data, Li bridges a crucial gap, allowing robots to perceive motion with unprecedented speed and precision. This breakthrough has significant implications for autonomous navigation, collision avoidance, and high-speed robotics. Li’s research demonstrates how conventional LiDAR sensors can be repurposed for ultra-low-latency motion sensing, expanding their utility beyond static mapping. With growing recognition in the field, Yihang Li’s work is shaping the next generation of responsive, perception-driven robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Moving event detection from LiDAR point streams60 citations · 2024