2 citations · 8 across the 11 of their papers we have counts for
11 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…
VINS-Multi: A Robust Asynchronous Multi-camera-IMU State Estimator
Luqi Wang, Yang Xu, Shaojie Shen
State estimation is a critical foundational module in robotics applications, where robustness and performance are paramount. Although in recent years, many works have been focusing…
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.…
OmniNxt: A Fully Open-source and Compact Aerial Robot with Omnidirectional Visual Perception
Peize Liu, Chen Feng, Yang Xu +3
Adopting omnidirectional Field of View (FoV) cameras in aerial robots vastly improves perception ability, significantly advancing aerial robotics's capabilities in inspection, reco…
Incorporating Point Uncertainty in Radar SLAM
Yang Xu, Qiucan Huang, Shaojie Shen +1
Radar SLAM is robust in challenging conditions, such as fog, dust, and smoke, but suffers from the sparsity and noisiness of radar sensing, including speckle noise and multipath ef…
LIV-GaussMap: LiDAR-Inertial-Visual Fusion for Real-time 3D Radiance Field Map Rendering
Sheng Hong, Junjie He, Xinhu Zheng +2
We introduce an integrated precise LiDAR, Inertial, and Visual (LIV) multimodal sensor fused mapping system that builds on the differentiable \pre{surface splatting }\now{Gaussians…