Embedded system design for autonomous recognition of space targets cased on Jetson TX2

Shuxian Zheng; Ling Wang; Jincheng Yu; Fei Xie; Bo Wang; Xiang Zhang

doi:10.1117/12.3034459

13 June 2024 Embedded system design for autonomous recognition of space targets cased on Jetson TX2

Shuxian Zheng, Ling Wang, Jincheng Yu, Fei Xie, Bo Wang, Xiang Zhang

Proceedings Volume 13180, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024); 131807C (2024) https://doi.org/10.1117/12.3034459
Event: International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024), 2024, Guangzhou, China

Abstract

In order to solve the requirements of autonomous recognition of space targets from far to near in orbit missions, this paper studies the autonomous recognition technology of space targets based on artificial intelligence edge devices that can be deployed on satellite. According to the imaging characteristics of the target in the visible light image in the approach process, the long-distance point target recognition algorithm and the near-range target component recognition algorithm based on the visible light image are studied in detail, and the embedded software for autonomous recognition of space targets is further developed based on the artificial intelligence chip, and on this basis, the target recognition embedded system is built, which has the capabilities of visible light image acquisition, autonomous recognition of space non-cooperative targets and target information output, and assists the mission satellite to complete the approach mission.

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

Citation Download Citation

Shuxian Zheng, Ling Wang, Jincheng Yu, Fei Xie, Bo Wang, and Xiang Zhang "Embedded system design for autonomous recognition of space targets cased on Jetson TX2", Proc. SPIE 13180, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024), 131807C (13 June 2024); https://doi.org/10.1117/12.3034459

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