Weisong Wen
Papers
4
Total Citations
72
H-Index
4
About
Weisong Wen is a leading researcher in autonomous navigation and multi-sensor fusion, whose work is critical for the next generation of intelligent vehicles and robotic swarms. His primary research areas include tightly coupled GNSS, inertial, and vision integration, as well as collaborative state estimation for multi-robot systems. Wen’s most cited work, “Continuous and Precise Positioning in Urban Environments by Tightly Coupled Integration of GNSS, INS and Vision” (42 citations), addresses the fundamental challenge of achieving seamless, high-accuracy positioning in complex urban canyons where standalone sensors fail. He further advanced the field with an improved inertial preintegration model for factor graph optimization (18 citations), enhancing the reliability of vehicular state estimation. Demonstrating his impact on collaborative robotics, Wen introduced CoLRIO (8 citations), a centralized LiDAR-ranging-inertial system for robotic swarms operating in GPS-denied environments. His research on multi-robot cooperative LiDAR SLAM has also shown significant improvements in mapping efficiency for urban scenes. Through these contributions, Weisong Wen is shaping the future of autonomous navigation, enabling safer self-driving cars and more capable robotic teams.
Research Focus
Key Achievements
Top Papers
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- 4MULTI-ROBOT COOPERATIVE LIDAR SLAM FOR EFFICIENT MAPPING IN URBAN SCENES4 citations · 2023