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BEV-ODOM2: Enhanced BEV-based Monocular Visual Odometry with PV-BEV Fusion and Dense Flow Supervision for Ground Robots
Yufei Wei, Chenxiao Hu, Wangtao Lu +5
Scale-consistent ego-motion estimation is fundamental for autonomous ground robots. Bird's-Eye-View (BEV) representation naturally addresses the scale drift problem of monocular vi…
Multi-cam Multi-map Visual Inertial Localization: System, Validation and Dataset
Yufei Wei, Fuzhang Han, Yanmei Jiao +9
Robot control loops require causal pose estimates that depend only on past and present measurements. At each timestep, controllers compute commands using the current pose without w…
BEV-ODOM: Reducing Scale Drift in Monocular Visual Odometry with BEV Representation
Yufei Wei, Sha Lu, Fuzhang Han +2
Monocular visual odometry (MVO) is vital in autonomous navigation and robotics, providing a cost-effective and flexible motion tracking solution, but the inherent scale ambiguity i…
DAMS-LIO: A Degeneration-Aware and Modular Sensor-Fusion LiDAR-inertial Odometry
Fuzhang Han, Han Zheng, Wenjun Huang +3
With robots being deployed in increasingly complex environments like underground mines and planetary surfaces, the multi-sensor fusion method has gained more and more attention whi…
EMV-LIO: An Efficient Multiple Vision aided LiDAR-Inertial Odometry
Bingqi Shen, Yuyin Chen, Fuzhang Han +3
To deal with the degeneration caused by the incomplete constraints of single sensor, multi-sensor fusion strategies especially in LiDAR-vision-inertial fusion area have attracted m…