The research team led by Professor Fu Zhang from the Department of Mechanical Engineering has won the IEEE Transactions on Robotics (T-RO) King-Sun Fu Memorial Best Paper Award for their publication titled “FAST-LIVO2: Fast, Direct LiDAR–Inertial–Visual Odometry” (Vol. 41, pp. 326–346, 2025). The prestigious award recognizes the best paper published annually in the IEEE Transactions on Robotics.

The paper was recognized for developing a fast LiDAR-inertial-visual odometry framework to real-time state estimation that outperforms state-of-the-art approaches in accuracy, robustness, and efficiency across challenging environments.

Details of the awarded publication:

FAST-LIVO2: Fast, Direct LiDAR–Inertial–Visual Odometry

Chunran Zheng, Wei Xu, Zuhao Zou, Tong Hua, Chongjian Yuan, Dongjiao He, Bingyang Zhou, Zheng Liu, Jiarong Lin, Fangcheng Zhu, Yunfan Ren, Rong Wang, Fanle Meng, and Fu Zhang

https://ieeexplore.ieee.org/document/10757429 

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