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Xuan Jia

2 accepted papers

2025

CODE: COllaborative Visual-UWB SLAM for Online Large-Scale Metric DEnse Mapping

IROS 2025

This paper presents a novel collaborative online dense mapping system for multiple Unmanned Aerial Vehicles (UAVs). The system confers two primary benefits: it facilitates simultaneous UAVs co-localization and real-time dense map reconstruction, and it recovers the metric scale even in GNSS-denied c

Cited by 0SourceScholar
2025

Cluster-ALIV: Aerial LiDAR-Inertia-Visual Dense Reconstruction for Cluster UAV

RA-L 2025

Unmanned aerial vehicles (UAVs) equipped with LiDAR, camera, and Inertial Measurement Unit sensors are increasingly utilized for real-time dense reconstruction in large-scale rescue operations and environmental monitoring, among others. However, achieving algorithmic robustness remains challenging d

Cited by 2SourceScholar