1 citations · 3 across the 5 of their papers we have counts for
5 papers
Event-based Stereo Visual-Inertial Odometry with Voxel Map
Zhaoxing Zhang, Xiaoxiang Wang, Chengliang Zhang +3
The event camera, renowned for its high dynamic range and exceptional temporal resolution, is recognized as an important sensor for visual odometry. However, the inherent noise in…
Leveraging Consistent Spatio-Temporal Correspondence for Robust Visual Odometry
Zhaoxing Zhang, Junda Cheng, Gangwei Xu +3
Recent approaches to VO have significantly improved performance by using deep networks to predict optical flow between video frames. However, existing methods still suffer from noi…
3D Multi-Object Tracking with Semi-Supervised GRU-Kalman Filter
Xiaoxiang Wang, Jiaxin Liu, Miaojie Feng +2
3D Multi-Object Tracking (MOT), a fundamental component of environmental perception, is essential for intelligent systems like autonomous driving and robotic sensing. Although Trac…
Panoramic Direct LiDAR-assisted Visual Odometry
Qirui Hu, Zikang Yuan, Tianle Xu +3
Enhancing visual odometry by exploiting sparse depth measurements from LiDAR is a promising solution for improving tracking accuracy of an odometry. Most existing works utilize a m…
LiDAR-Inertial Odometry in Dynamic Driving Scenarios using Label Consistency Detection
Zikang Yuan, Xiaoxiang Wang, Jingying Wu +2
In this paper, a LiDAR-inertial odometry (LIO) method that eliminates the influence of moving objects in dynamic driving scenarios is proposed. This method constructs binarized lab…