Abstract
With the development of multi-UAVs technology, detecting and searching unknown areas by using autonomous multi-UAVs have become a frontier research direction with difficult in this field. To illustrate the progress of cooperative target searching by multi-UAVs, firstly, the significance of cooperative searching and its application in military and civil fields are systematically described. Then the current research status of the multi-UAVs cooperative searching is described, and three aspects are analyzed, including environment modeling, cooperation architecture and searching methods. Finally, the conclusions are made in terms of the autonomous and cooperation ability of multi-UAVs. The future research trend of improving the efficiency of multi-UAVs cooperative search is discussed and prospected from the perspectives of UAVs’ perception, cognition, autonomy, as well as human-machine cooperative technology.
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Acknowledgements
This research was funded by Qinghai Natural Science Foundation project under grant number 2020-zj-913, Anhui Natural Science Foundation project under grant number s202202a04021815, Anhui Graduate Scientific Research project under grant number yjs20210087.
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Wang, C., Zhang, X., Lei, Y., Wu, H., Liu, H., Xie, L. (2022). Advances in Cooperative Target Searching by Multi-UAVs. In: Tan, Y., Shi, Y., Niu, B. (eds) Advances in Swarm Intelligence. ICSI 2022. Lecture Notes in Computer Science, vol 13345. Springer, Cham. https://doi.org/10.1007/978-3-031-09726-3_3
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