Papers
1
Total Citations
43
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1
About
Dr. Xingliang Ji is a leading researcher in mobile robotics, specializing in Simultaneous Localization and Mapping (SLAM), LiDAR odometry, and loop-closure detection. His most influential work, "LLOAM: LiDAR Odometry and Mapping with Loop-closure Detection Based Correction" (2019), has garnered 43 citations, addressing a critical challenge in autonomous navigation: the re-observation of known places to correct cumulative drift. Dr. Ji’s major contribution lies in integrating robust loop-closure detection with a global optimization back-end, enabling precise pose and map correction for long-term robot operation. This innovation significantly enhances the reliability of LiDAR-based SLAM systems in complex, large-scale environments. By tackling the persistent issue of global consistency, his work has advanced the practical deployment of autonomous vehicles and exploration robots. Dr. Ji’s research continues to shape the field, offering foundational solutions for accurate, real-time mapping and navigation.
Research Focus
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Top Papers
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