A depth information aided real-time instance segmentation method for space task scenarios under CPU platform-Reference-Cited by-同舟云学术

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A depth information aided real-time instance segmentation method for space task scenarios under CPU platform

Published:2023-03 Issue: Volume:204 Page:666-678
ISSN:0094-5765
Container-title:Acta Astronautica
language:en
Short-container-title:Acta Astronautica

Author:

Li Qianlong^ORCID,Zhu Zhanxia^ORCID,Liang Junwu,Zhang Hongwen^ORCID,Xu Yanwen,Zhang Zhihao

Funder

Northwestern Polytechnical University

Publisher

Elsevier BV

Subject

Aerospace Engineering

Reference64 articles.

1. Unseen object instance segmentation for robotic environments;Xie;IEEE Trans. Robot.,2021

2. Vehicle detection through instance segmentation using Mask R-CNN for intelligent vehicle system;Ojha,2021

3. Vision based navigation for autonomous cooperative docking of cubesats;Pirat;Acta Astronaut.,2018

4. 2D vision-based tracking algorithm for general space non-cooperative objects;Zhou;Acta Astronaut.,2021

5. A vision-based relative navigation sensor for on-orbit servicing of CubeSats;Du,2021

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. WDICD: A novel simulated dataset and structure-aware framework for semantic segmentation of spacecraft component;Acta Astronautica;2024-12

2. Review of Machine-Learning Approaches for Object and Component Detection in Space Electro-optical Satellites;International Journal of Aeronautical and Space Sciences;2023-08-02

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