Paper
2 January 2025 Overview of cooperative UAV swarm localization
Runzong Shangguan, Lin Lin, Yanbo Zhou
Author Affiliations +
Proceedings Volume 13514, International Conference on Remote Sensing and Digital Earth (RSDE 2024); 1351410 (2025) https://doi.org/10.1117/12.3059012
Event: 2024 International Conference on Remote Sensing and Digital Earth, 2024, Chengdu, China
Abstract
The coordinated operation of UAV Swarm enhances positioning accuracy, reduces individual errors, and improves system robustness and real-time performance. Current research on cooperative positioning mainly focuses on multi-sensor fusion and technological optimizations. This article aims to find a high-precision and stable cooperative positioning solution for UAV Swarm by addressing the limitations of individual positioning coordination. It reviews existing research, analyzing the advantages and key technologies of multi-sensor fusion specific to UAV Swarm. The study also explores advancements in visual positioning optimization, signal anti-interference, and fusion filtering techniques to improve accuracy, offering valuable insights for the development of multi-UAV cooperative positioning systems.
(2025) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Runzong Shangguan, Lin Lin, and Yanbo Zhou "Overview of cooperative UAV swarm localization", Proc. SPIE 13514, International Conference on Remote Sensing and Digital Earth (RSDE 2024), 1351410 (2 January 2025); https://doi.org/10.1117/12.3059012
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KEYWORDS
Unmanned aerial vehicles

Visualization

Sensors

Satellite navigation systems

Navigation systems

Tunable filters

Data fusion

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