A method for representation of space non-cooperative target attitude based on point cloud data

Yingying Gu; Li Wang; Shixin Wang; Chao Dong; Yunfang Zhang

doi:10.1117/12.2623806

27 March 2022 A method for representation of space non-cooperative target attitude based on point cloud data

Yingying Gu, Li Wang, Shixin Wang, Chao Dong, Yunfang Zhang

Author Affiliations +

Proceedings Volume 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications; 121693R (2022) https://doi.org/10.1117/12.2623806
Event: Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 2021, Kunming, China

Abstract

The pose measurement of space non-cooperative targets is a key technology for approaching, flying around, and manipulating space targets. This paper presents a method for the attitude representation of non-cooperative targets in space based on laser point cloud data, and demonstrates the effectiveness and practically of the method from the basic principles , the ability of the method to characterize targets’ attitude, and the anti-noise performance of the method to resist measurement noise of point cloud. This attitude characterization method realizes the extraction and concise from massive point cloud data of space non-cooperative targets to attitude information, and lays a foundation for the subsequent intelligent, stable, and real-time pose measurement.

Citation Download Citation

Yingying Gu, Li Wang, Shixin Wang, Chao Dong, and Yunfang Zhang "A method for representation of space non-cooperative target attitude based on point cloud data", Proc. SPIE 12169, Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, 121693R (27 March 2022); https://doi.org/10.1117/12.2623806

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