Research on collaborative perception technology of two-domain unmanned platform cluster

Xuefeng Peng; Jiasheng Liu; Zongmiao Dai

doi:10.1117/12.3025475

28 February 2024 Research on collaborative perception technology of two-domain unmanned platform cluster

Xuefeng Peng, Jiasheng Liu, Zongmiao Dai

Proceedings Volume 13071, International Conference on Mechatronic Engineering and Artificial Intelligence (MEAI 2023); 130713X (2024) https://doi.org/10.1117/12.3025475
Event: International Conference on Mechatronic Engineering and Artificial Intelligence (MEAI 2023), 2023, Shenyang, China

Abstract

In response to the development needs of future unmanned platform cluster collaborative operation mode, with the goal of improving the collaborative operation capability of two-domain unmanned platforms, an analysis of collaborative perception technology for two-domain unmanned operation platform clusters has been carried out. This article proposes a dynamic target tracking algorithm based on BACF algorithm, which combines weighted fusion of multiple features and model adaptive updating. Assign weights based on the contribution of multiple features and perform weighted fusion. Use the fused features to detect the tracked target. By introducing a one-dimensional scale filter, achieve adaptive changes in target scale; This algorithm can solve the problems of interference such as water mist, high noise, occlusion, and lighting in two-domain work environments, as well as the problem of insufficient robustness and real-time requirements in the tracking process. It can effectively improve the cluster operation ability of two-domain unmanned platforms.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xuefeng Peng, Jiasheng Liu, and Zongmiao Dai "Research on collaborative perception technology of two-domain unmanned platform cluster", Proc. SPIE 13071, International Conference on Mechatronic Engineering and Artificial Intelligence (MEAI 2023), 130713X (28 February 2024); https://doi.org/10.1117/12.3025475

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