Shaosong Li

Papers

Total Citations

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About

Shaosong Li is a researcher whose work addresses a critical challenge in autonomous perception: the reliable detection of transparent objects. His primary research area lies in 3D lidar perception, specifically focusing on the recognition of glass—a notoriously difficult material for standard sensors due to its reflective and transparent properties. Li’s most cited work, "Recognition of indoor glass by 3D lidar" (2021), tackles this problem head-on. By leveraging the unique point cloud signatures produced when lidar beams interact with glass surfaces, he developed a method to effectively identify and localize these otherwise invisible obstacles. This contribution is vital for the safe navigation of robots and autonomous vehicles in indoor environments, where glass doors, windows, and partitions are ubiquitous. While his citation count of 5 reflects a focused, emerging field, the practical importance of his work is significant. Li’s research directly addresses a key gap in environmental perception, offering a pathway toward more robust and trustworthy autonomous systems that can operate safely in complex, human-centric spaces.