Zhuohao Yan
Papers
1
Total Citations
4
H-Index
1
About
Zhuohao Yan is a robotics researcher specializing in multi-sensor fusion, LiDAR-inertial odometry (LIO), and dynamic object tracking for autonomous systems. His most notable contribution is the development of LIO-LOT, a tightly-coupled framework that integrates multi-object tracking with LiDAR-inertial odometry, addressing a critical limitation of traditional LIO systems that assume static environments. By enabling the effective use of dynamic objects for localization, Yan’s work advances the robustness of autonomous navigation in complex, real-world scenarios. His research has garnered early recognition, with his 2024 paper accumulating 4 citations, signaling growing impact in the field. Yan’s approach not only improves localization accuracy but also supports emerging applications requiring precise tracking of surrounding objects, such as autonomous driving and robotics. His work stands out for bridging the gap between odometry and perception, offering a unified solution that leverages dynamic elements rather than treating them as noise. Yan’s contributions are poised to influence future developments in real-time, adaptive navigation systems.
Research Focus
Key Achievements
Top Papers
- 1