Mingyang Chu

Papers

Total Citations

H-Index

About

Mingyang Chu is a researcher focused on advancing perception and obstacle detection for autonomous systems, particularly through the use of 3D LiDAR technology. His primary research areas include transparent object recognition, sensor fusion, and environmental perception for robotics and autonomous vehicles. Chu’s most notable contribution is his pioneering work on the recognition of indoor glass using 3D LiDAR, a critical challenge given that glass—being transparent and reflective—often eludes standard sensors. His 2021 paper on this topic, which has garnered 5 citations, proposes novel methods to identify and detect glass obstacles, addressing a significant safety gap in indoor navigation and autonomous driving. This work has practical implications for improving the reliability of robots and vehicles in environments with glass walls, doors, or displays. By tackling the difficult problem of transparent object detection, Chu is helping to push the boundaries of what autonomous systems can perceive, making them safer and more robust in real-world settings. His research continues to influence developments in perception algorithms and sensor technology.