1 citations · 1 across the 8 of their papers we have counts for
8 papers
Improve the autonomy of the SE2(3) group based Extended Kalman Filter for Integrated Navigation: Application
Maosong Wang, Jiarui Cui, Wenqi Wu +2
One of the core advantages of SE2(3) Lie group framework for navigation modeling lies in the autonomy of error propagation. In the previous paper, the theoretical analysis of auton…
Improve the autonomy of the SE2(3) group based Extended Kalman Filter for Integrated Navigation: Theoretical Analysis
Jiarui Cui, Maosong Wang, Wenqi Wu +2
One of core advantages of the SE2(3) Lie group framework for navigation modeling lies in the autonomy of error propagation. Current research on Lie group based extended Kalman filt…
GPA-VGGT:Adapting VGGT to Large Scale Localization by Self-Supervised Learning with Geometry and Physics Aware Loss
Yangfan Xu, Lilian Zhang, Xiaofeng He +3
Transformer-based general visual geometry frameworks have shown promising performance in camera pose estimation and 3D scene understanding. Recent advancements in Visual Geometry G…
SP-VINS: A Hybrid Stereo Visual Inertial Navigation System based on Implicit Environmental Map
Xueyu Du, Lilian Zhang, Fuan Duan +4
Filter-based visual inertial navigation system (VINS) has attracted mobile-robot researchers for the good balance between accuracy and efficiency, but its limited mapping quality h…
SLAM in the Dark: Self-Supervised Learning of Pose, Depth and Loop-Closure from Thermal Images
Yangfan Xu, Qu Hao, Lilian Zhang +4
Visual SLAM is essential for mobile robots, drone navigation, and VR/AR, but traditional RGB camera systems struggle in low-light conditions, driving interest in thermal SLAM, whic…
SP-VIO: Robust and Efficient Filter-Based Visual Inertial Odometry with State Transformation Model and Pose-Only Visual Description
Xueyu Du, Lilian Zhang, Chengjun Ji +5
Due to the advantages of high computational efficiency and small memory requirements, filter-based visual inertial odometry (VIO) has a good application prospect in miniaturized an…
PO-MSCKF: An Efficient Visual-Inertial Odometry by Reconstructing the Multi-State Constrained Kalman Filter with the Pose-only Theory
Xueyu Du, Lilian Zhang, Ruochen Liu +3
Efficient Visual-Inertial Odometry (VIO) is crucial for payload-constrained robots. Though modern optimization-based algorithms have achieved superior accuracy, the MSCKF-based VIO…
Ultraviolet Positioning via TDOA: Error Analysis and System Prototype
Shihui Yu, Chubing Lv, Yueke Yang +7
This work performs the design, real-time hardware realization, and experimental evaluation of a positioning system by ultra-violet (UV) communication under photon-level signal dete…