Yibin Wu
Papers
7
Total Citations
122
H-Index
4
About
Yibin Wu is a robotics and navigation researcher whose work centers on inertial navigation, autonomous vehicle localization, and sensor fusion. He is best known for pioneering the **Wheel-INS** framework — an innovative dead reckoning system that mounts a low-cost MEMS IMU directly onto a robot's wheel, exploiting the wheel's rotational motion to improve navigation accuracy without additional hardware costs. This foundational work (2021) has garnered 46 citations and sparked a productive research thread. Wu extended this concept through **Wheel-INS2**, exploring multi-IMU configurations for enhanced robustness (31 citations), and **Wheel-SLAM**, which enables simultaneous localization and terrain mapping using a single wheel-mounted IMU (10 citations). His most recent contributions include **Wheel-GINS**, integrating GNSS with wheel-mounted inertial sensing for long-term outdoor navigation, and **LIO-EKF** (25 citations), a high-frequency LiDAR-inertial odometry system leveraging Extended Kalman Filters for efficient 3D mobile robot navigation. Collectively, Wu's publications reflect a coherent vision: building accurate, self-contained, and cost-effective navigation systems for the next generation of autonomous robots operating across diverse real-world environments.
Research Focus
Key Achievements
Top Papers
- 1Wheel-INS: A Wheel-Mounted MEMS IMU-Based Dead Reckoning System46 citations · 2021
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- 6Wheel-INS: A Wheel-mounted MEMS IMU-based Dead Reckoning System3 citations · 2019
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