activity
20232026
most citedNav-SCOPE: Swarm Robot Cooperative Perception and Coordinated Navigation

5 citations · 9 across the 6 of their papers we have counts for

collaborators

6 papers

cs.RO2026

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…

cs.CV2025

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…

cs.RO2025

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…

cs.RO2024★ 1 cited

Efficient Collaborative Navigation through Perception Fusion for Multi-Robots in Unknown Environments

Qingquan Lin, Weining Lu, Litong Meng +2

For tasks conducted in unknown environments with efficiency requirements, real-time navigation of multi-robot systems remains challenging due to unfamiliarity with surroundings.In…

cs.RO2024★ 5 cited

Nav-SCOPE: Swarm Robot Cooperative Perception and Coordinated Navigation

Chenxi Li, Weining Lu, Qingquan Lin +3

This paper proposes a lightweight systematic solution for multi-robot coordinated navigation with decentralized cooperative perception. An information flow is first created to faci…

cs.RO2023★ 3 cited

Collaborative Goal Tracking of Multiple Mobile Robots Based on Geometric Graph Neural Network

Weining Lu, Qingquan Lin, Litong Meng +2

Multiple mobile robots play a significant role in various spatially distributed tasks.In unfamiliar and non-repetitive scenarios, reconstructing the global map is time-inefficient…