2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.RO2024
MSSP : A Versatile Multi-Scenario Adaptable Intelligent Robot Simulation Platform Based on LIDAR-Inertial Fusion
Qiyan Li, Chang Wu, Yifei Yuan +1
This letter presents a multi-scenario adaptable intelligent robot simulation platform based on LIDAR-inertial fusion, with three main features: (1 The platform includes an versatil…
cs.CV2024★ 2 cited
Light-SLAM: A Robust Deep-Learning Visual SLAM System Based on LightGlue under Challenging Lighting Conditions
Zhiqi Zhao, Chang Wu, Xiaotong Kong +3
Simultaneous Localization and Mapping (SLAM) has become a critical technology for intelligent transportation systems and autonomous robots and is widely used in autonomous driving.…
cs.RO2023
VoxelMap++: Mergeable Voxel Mapping Method for Online LiDAR(-inertial) Odometry
Yifei Yuan, Chang Wu, Yuan You +3
This paper presents VoxelMap++: a voxel mapping method with plane merging which can effectively improve the accuracy and efficiency of LiDAR(-inertial) based simultaneous localizat…