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10 February 2023 Multi-UAV collaborative trajectory planning for emergency response mapping based on PSO
Zhengyang Cao, Dajian Li, Bing Zhang, Kenan Gou
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Proceedings Volume 12552, International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022); 1255230 (2023) https://doi.org/10.1117/12.2667401
Event: International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022), 2022, Kunming, China
Abstract
UAV (Unmanned Aerial Vehicle) trajectory planning in emergency response mapping has the characteristics of complex spatial and temporal environmental constraints and diverse trajectory planning schemes, and the existing trajectory planning is mainly based on empirical judgment with low program reliability, lacking comprehensive consideration of the occurrence of complex and variable special situations in the emergency process, resulting in low accuracy and reliability of mapping results. In order to realize the rapid response of post-disaster emergency response mapping, multi-UAV collaborative mapping scheme and optimization objectives are constructed, taking into account the constraints of emergency response mapping task demand, priority, geographic environment of task area and UAV mapping resource capacity, etc. The initial perception of the environment is completed through the pre-trajectory planning of multi-UAV, and multi-UAV collaborative trajectory planning based on PSO (particle swarm optimization) is proposed based on the perception information, so as to the problem of repeated data collection and collision between UAV in the process of multi-UAV flight is effectively avoided.
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Zhengyang Cao, Dajian Li, Bing Zhang, and Kenan Gou "Multi-UAV collaborative trajectory planning for emergency response mapping based on PSO", Proc. SPIE 12552, International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022), 1255230 (10 February 2023); https://doi.org/10.1117/12.2667401
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KEYWORDS
Unmanned aerial vehicles
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