Chonghui Xu

Nanjing University of Information Science and Technology

Papers

Total Citations

303

H-Index

About

Chonghui Xu is a leading researcher in the field of robotic perception and autonomous navigation, with a primary focus on Simultaneous Localization and Mapping (SLAM) technology. His work bridges the gap between traditional geometric methods and modern semantic understanding, addressing critical challenges in enabling robots to operate reliably in complex, real-world environments. Xu’s major contributions include a comprehensive overview of Visual SLAM’s evolution from feature-based approaches to semantic-rich systems, a work that has garnered 202 citations for its insightful synthesis of the field. He has also advanced the understanding of heterogeneous sensor fusion, analyzing how LIDAR and visual data can be integrated for robust performance, and has explored the frontier of multi-robot collaborative SLAM, tackling issues of scalability and data fusion for large-area mapping. With over 300 total citations across his key publications, Xu’s research is highly influential, providing foundational surveys that guide both new researchers and seasoned practitioners. His notable achievements include systematically categorizing the transition from single-sensor to multi-sensor and single-robot to multi-robot paradigms, establishing him as a key voice in the next generation of SLAM innovation.