4 papers
Sphere-VIO: Fast and Robust Visual-Inertial Odometry via Unified Spherical Representation for Heterogeneous Multi-Camera Systems
Yueteng Yang, Yusen Xie, Hao Wei +5
Multi-camera visual-inertial odometry (VIO) overcomes the inherent limitations of pure visual systems by expanding the field of view. However, existing algorithms are typically tai…
FAR-AVIO: Fast and Robust Schur-Complement Based Acoustic-Visual-Inertial Fusion Odometry with Sensor Calibration
Hao Wei, Peiji Wang, Qianhao Wang +3
Underwater environments impose severe challenges to visual-inertial odometry systems, as strong light attenuation, marine snow and turbidity, together with weakly exciting motions,…
LiDAR-VGGT: Cross-Modal Coarse-to-Fine Fusion for Globally Consistent and Metric-Scale Dense Mapping
Lijie Wang, Lianjie Guo, Ziyi Xu +3
Reconstructing large-scale colored point clouds is an important task in robotics, supporting perception, navigation, and scene understanding. Despite advances in LiDAR inertial vis…
FastViDAR: Real-Time Omnidirectional Depth Estimation via Alternative Hierarchical Attention
Hangtian Zhao, Xiang Chen, Yizhe Li +3
In this paper we propose FastViDAR, a novel framework that takes four fisheye camera inputs and produces a full depth map along with per-camera depth, fusion depth, and…