Anmin Huang
Papers
1
Total Citations
15
H-Index
1
About
Anmin Huang is a researcher focused on advancing autonomous navigation systems for mobile robots, with a particular emphasis on 3D LiDAR-based environmental perception and mapping. Their most notable contribution is the development of an effective method for constructing static maps using 3D LiDAR in outdoor environments, a critical challenge in robotics where dynamic objects—such as moving vehicles or pedestrians—can corrupt sensor data and compromise localization accuracy. This work, published in 2023, has already garnered 15 citations, reflecting its timely relevance to the field. By addressing the interference caused by dynamic elements, Huang’s approach enables more reliable and consistent map generation, directly supporting precise path planning for autonomous platforms. This research holds significant promise for applications in self-driving vehicles, field robotics, and intelligent transportation systems. Huang’s contributions underscore a commitment to solving real-world perception problems, bridging the gap between raw sensor data and actionable spatial intelligence for autonomous navigation.
Research Focus
Key Achievements
Top Papers
- 1