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A distributed photoelectric sensing and simulation training method for the UAV swarm
Author(s) -
Rang Liu,
Jian Wu,
Yanjie Zhao,
Changqing Liu
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2187/1/012050
Subject(s) - photoelectric effect , computer science , swarm behaviour , training (meteorology) , process (computing) , software , real time computing , simulation , artificial intelligence , operating system , physics , meteorology , optics
Aiming at the shortage of the training samples in the process of target recognition of the UAV swarm distributed photoelectric sensing system, the distributed photoelectric sensing and training technology based on the loop simulation is studied. This paper discussed the hardware architecture and software architecture of distributed photoelectric sensing and training system, as well as the design of distributed video splicing and target recognition algorithm. Finally, a simple distributed photoelectric sensing hardware in the loop simulation training system applied to UAV cluster was built in the laboratory, and the feasibility of this technology was verified by experiments.

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