Tingchen Ma
Papers
2
Total Citations
13
H-Index
2
About
Tingchen Ma is a robotics researcher specializing in simultaneous localization and mapping (SLAM) and multi-object tracking for dynamic environments. Their work focuses on advancing LiDAR-based perception systems, particularly addressing the critical challenge of reliable positioning and mapping in complex scenes with numerous moving objects—a limitation of traditional rigid-scene SLAM approaches. Ma’s most notable contribution is the development of a semantic geometric fusion multi-object tracking and LiDAR odometry system, which integrates semantic understanding with geometric constraints to achieve robust performance in dynamic settings. This work has garnered 11 citations since 2024, reflecting its timely relevance to autonomous navigation. Additionally, Ma has proposed an accurate 3D LiDAR SLAM system employing a hash multi-scale map and bidirectional matching algorithm, enhancing map representation efficiency and data association accuracy. With a total of 13 citations across their top papers, Ma is establishing a reputation for tackling fundamental SLAM limitations through innovative fusion of semantic and geometric information, contributing to the next generation of reliable robotic perception in real-world, dynamic environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2