9 papers
RICH-SLAM: Radar SLAM with Incremental and Continuous Hilbert Mapping
Bingbing Zhang, Huan Yin, Yang Xu +4
Simultaneous localization and mapping using radar sensors has gained increasing attention due to radar's inherent robustness to adverse weather and lighting conditions. However, ra…
WaterSplat-SLAM: Photorealistic Monocular SLAM in Underwater Environment
Kangxu Wang, Shaofeng Zou, Chenxing Jiang +4
Underwater monocular SLAM is a challenging problem with applications from autonomous underwater vehicles to marine archaeology. However, existing underwater SLAM methods struggle t…
SG-Reg: Generalizable and Efficient Scene Graph Registration
Chuhao Liu, Zhijian Qiao, Jieqi Shi +3
This paper addresses the challenges of registering two rigid semantic scene graphs, an essential capability when an autonomous agent needs to register its map against a remote agen…
SLIM: Scalable and Lightweight LiDAR Mapping in Urban Environments
Zehuan Yu, Zhijian Qiao, Wenyi Liu +2
LiDAR point cloud maps are extensively utilized on roads for robot navigation due to their high consistency. However, dense point clouds face challenges of high memory consumption…
Speak the Same Language: Global LiDAR Registration on BIM Using Pose Hough Transform
Zhijian Qiao, Haoming Huang, Chuhao Liu +4
Light detection and ranging (LiDAR) point clouds and building information modeling (BIM) represent two distinct data modalities in the fields of robot perception and construction.…
SLABIM: A SLAM-BIM Coupled Dataset in HKUST Main Building
Haoming Huang, Zhijian Qiao, Zehuan Yu +4
Existing indoor SLAM datasets primarily focus on robot sensing, often lacking building architectures. To address this gap, we design and construct the first dataset to couple the S…