6 citations · 6 across the 2 of their papers we have counts for
2 papers
cs.RO2025
AF-RLIO: Adaptive Fusion of Radar-LiDAR-Inertial Information for Robust Odometry in Challenging Environments
Chenglong Qian, Yang Xu, Xiufang Shi +2
In robotic navigation, maintaining precise pose estimation and navigation in complex and dynamic environments is crucial. However, environmental challenges such as smoke, tunnels,…
cs.RO2022★ 6 cited
RF-LIO: Removal-First Tightly-coupled Lidar Inertial Odometry in High Dynamic Environments
Chenglong Qian, Zhaohong Xiang, Zhuoran Wu +1
Simultaneous Localization and Mapping (SLAM) is considered to be an essential capability for intelligent vehicles and mobile robots. However, most of the current lidar SLAM approac…