Xiaoji Niu
Papers
17
Total Citations
379
H-Index
10
About
Xiaoji Niu is a prominent researcher specializing in inertial navigation systems (INS), multi-sensor fusion, and autonomous vehicle positioning. His work focuses on developing robust, cost-effective navigation solutions that integrate GNSS, visual, LiDAR, and MEMS-based inertial technologies for both outdoor and challenging indoor environments. Niu's most influential contribution is IC-GVINS (2022), an INS-centric GNSS-visual-inertial navigation system designed for reliability in complex environments, which has accumulated 106 citations and established a new paradigm for tightly coupled sensor fusion. His Wheel-INS series — encompassing dead reckoning systems using wheel-mounted MEMS IMUs for wheeled robots — demonstrates his commitment to practical, low-cost autonomous navigation, with follow-up work Wheel-INS2 exploring multiple IMU configurations. His LE-VINS system further addresses depth estimation challenges in visually degraded scenes by incorporating solid-state LiDAR. Beyond mobile robotics, Niu has advanced indoor positioning through fingerprint-based signal-of-opportunity systems and magnetometer-based speed estimation. His Wheel-SLAM research extends his expertise into simultaneous localization and mapping using minimal hardware. With over 340 cumulative citations across his key publications, Niu's body of work represents significant advances in resilient, sensor-fused navigation for next-generation autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 2Wheel-INS: A Wheel-Mounted MEMS IMU-Based Dead Reckoning System46 citations · 2021
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