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Dongjie Wu

1 accepted papers

2023

LIO-Fusion: Reinforced LiDAR Inertial Odometry by Effective Fusion With GNSS/Relocalization and Wheel Odometry

RA-L 2023

Reliable state estimation is a prerequisite for autonomous robot navigation in complex environments. In this work, we present LIO-Fusion, a reinforced LiDAR inertial odometry system that optimally fuses GNSS/relocalization and wheel odometry to provide accurate and robust 6-DoF movement estimation u

Cited by 26SourceScholar