4 papers · 1 filter
Certifiable Alignment of GNSS and Local Frames via Lagrangian Duality
Baoshan Song, Matthew Giamou, Penggao Yan +2
Estimating the absolute orientation of a local system relative to a global navigation satellite system (GNSS) reference often suffers from local minima and high dependency on satel…
SF-Loc: A Visual Mapping and Geo-Localization System based on Sparse Visual Structure Frames
Yuxuan Zhou, Xingxing Li, Shengyu Li +3
For high-level geo-spatial applications and intelligent robotics, accurate global pose information is of crucial importance. Map-aided localization is a universal approach to overc…
MASt3R-Fusion: Integrating Feed-Forward Visual Model with IMU, GNSS for High-Functionality SLAM
Yuxuan Zhou, Xingxing Li, Shengyu Li +3
Visual SLAM is a cornerstone technique in robotics, autonomous driving and extended reality (XR), yet classical systems often struggle with low-texture environments, scale ambiguit…
Equivariant Filter for Tightly Coupled LiDAR-Inertial Odometry
Anbo Tao, Yarong Luo, Chunxi Xia +2
Pose estimation is a crucial problem in simultaneous localization and mapping (SLAM). However, developing a robust and consistent state estimator remains a significant challenge, a…