Paper
21 July 2023 A study on the embedded implementation of cooperative algorithms for unmanned aerial vehicles
Wenrui Wang, Xiang Wu, Huizi Fan, Fang Chen, Sen Liang
Author Affiliations +
Proceedings Volume 12717, 3rd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2023); 127170S (2023) https://doi.org/10.1117/12.2684764
Event: 3rd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2023), 2023, Wuhan, China
Abstract
To satisfy the application requirements of the UAV cooperative algorithm, the current embedded implementation method of the cooperative algorithm is investigated, and an embedded system that can run complex cooperative algorithms is proposed in this paper. The system can receive and process data from other modules of UAV at high speed and provide high-performance computing power for the application of cooperative algorithms. In this paper, the feasibility analysis is carried out on the embedded system's communication ability and computing ability.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wenrui Wang, Xiang Wu, Huizi Fan, Fang Chen, and Sen Liang "A study on the embedded implementation of cooperative algorithms for unmanned aerial vehicles", Proc. SPIE 12717, 3rd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2023), 127170S (21 July 2023); https://doi.org/10.1117/12.2684764
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KEYWORDS
Digital signal processing

Telecommunications

Unmanned aerial vehicles

Embedded systems

Data communications

Signal processing

Data transmission

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