3 papers
cs.CV2026
Aerial-ground LiDAR place recognition with patch-level self-supervised learning and expanded reciprocal re-ranking
Yandi Yang, Xianghong Zou, Jianping Li +4
LiDAR place recognition determines one's position on a prior point cloud map. The most studied ground-level LiDAR place recognition suffers from pre-visit requirements, incomplete…
cs.CV2026
FurnSet: Exploiting Repeats for 3D Scene Reconstruction
Paul Dobre, Xin Wang, Hongzhou Yang
Single-view 3D scene reconstruction involves inferring both object geometry and spatial layout. Existing methods typically reconstruct objects independently or rely on implicit sce…
cs.RO2025
GS-GVINS: A Tightly-integrated GNSS-Visual-Inertial Navigation System Augmented by 3D Gaussian Splatting
Zelin Zhou, Saurav Uprety, Shichuang Nie +1
Recently, the emergence of 3D Gaussian Splatting (3DGS) has drawn significant attention in the area of 3D map reconstruction and visual SLAM. While extensive research has explored…