2 citations · 3 across the 5 of their papers we have counts for
6 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…
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…
GS-LIVO: Real-Time LiDAR, Inertial, and Visual Multi-sensor Fused Odometry with Gaussian Mapping
Sheng Hong, Chunran Zheng, Yishu Shen +4
In recent years, 3D Gaussian splatting (3D-GS) has emerged as a novel scene representation approach. However, existing vision-only 3D-GS methods often rely on hand-crafted heuristi…
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…