4 papers
PL-LIT: A LiDAR-Inertial-Thermal SLAM Using Point-Line Features and Thermographic Mapping
Jiawei Xia, Yixiao Feng, Yongliang Shi +4
Thermal imaging is resilient to adverse conditions, such as intense illumination, low-light operation, and fog, and can therefore mitigate odometry degradation when visible-spectru…
Robust and High-Fidelity 3D Gaussian Splatting: Fusing Pose Priors and Geometry Constraints for Texture-Deficient Outdoor Scenes
Meijun Guo, Yongliang Shi, Caiyun Liu +5
3D Gaussian Splatting (3DGS) has emerged as a key rendering pipeline for digital asset creation due to its balance between efficiency and visual quality. To address the issues of u…
Semi-distributed Cross-modal Air-Ground Relative Localization
Weining Lu, Deer Bin, Lian Ma +8
Efficient, accurate, and flexible relative localization is crucial in air-ground collaborative tasks. However, current approaches for robot relative localization are primarily real…
Block-Map-Based Localization in Large-Scale Environment
Yixiao Feng, Zhou Jiang, Yongliang Shi +4
Accurate localization is an essential technology for the flexible navigation of robots in large-scale environments. Both SLAM-based and map-based localization will increase the com…