Xuanbin Wang
Papers
3
Total Citations
85
H-Index
3
About
Xuanbin Wang is a leading researcher in multi-sensor fusion for autonomous navigation, specializing in the tight integration of Global Navigation Satellite Systems (GNSS), Inertial Navigation Systems (INS), and vision sensors. His work addresses the critical challenge of achieving continuous, precise positioning in complex urban environments where standalone sensors fail. Wang’s most cited paper (42 citations) introduces a tightly-coupled GNSS/INS/vision framework that delivers robust state estimation for self-driving cars and robots. He further advanced the field by developing an optimization-based integration of Precise Point Positioning (PPP), INS, and vision (12 citations), enabling high-accuracy navigation without external corrections. Beyond navigation, Wang has made significant contributions to sensor calibration, with a highly cited work (31 citations) on automatic extrinsic calibration between monocular cameras and heterogeneous 3D LiDARs—a critical step for seamless sensor fusion in perception systems. His research directly supports the reliability and autonomy of next-generation mobile robots and autonomous vehicles, bridging the gap between theoretical sensor fusion and real-world deployment in challenging, dynamic environments.
Research Focus
Key Achievements
Top Papers
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