SESPnet:带有关注机制的轻量级航天器姿态估计网络

Q3 Earth and Planetary Sciences Aerospace Systems Pub Date : 2023-12-08 DOI:10.1007/s42401-023-00259-w
Chao Chen, Zhongliang Jing, Han Pan, Xiangming Dun, Jianzhe Huang, Hailei Wu, Shuqing Cao
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引用次数: 0

摘要

航天器姿态估计在越来越多的在轨服务中发挥着重要作用:交会对接、编队飞行、碎片清除等。目前的解决方案性能卓越,但代价是需要大量的模型参数,不适用于计算资源有限的太空环境。在本文中,我们提出了基于挤压和激励的航天器姿态网络(SESPNet)。我们的主要目标是在最小化模型参数和保持性能之间做出权衡,使其更适用于太空环境中的边缘计算。我们的贡献主要体现在三个方面:第一,我们采用轻量级的 PeleeNet 作为骨干网络;第二,我们采用 SE attention 机制来增强网络的特征提取能力;第三,我们采用 Smooth L1 损失函数进行位置回归,从而显著提高了位置估计的准确性。
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SESPnet: a lightweight network with attention mechanism for spacecraft pose estimation

Spacecraft pose estimation plays an important role in an increasing number of on-orbit services: rendezvous and docking, formation flights, debris removal, and so on. Current solutions achieve excellent performance at the cost of a huge number of model parameters and are not applicable in space environments where computational resources are limited. In this paper, we present the Squeeze-and-Excitation based Spacecraft Pose Network (SESPNet). Our primary objective is to make a trade-off between minimizing model parameters and preserving performance to be more applicable to edge computing in space environments. Our contributions are primarily manifested in three aspects: first, we adapt the lightweight PeleeNet as the backbone network; second, we incorporate the SE attention mechanism to bolster the network’s feature extraction capabilities; third, we adopt the Smooth L1 loss function for position regression, which significantly enhances the accuracy of position estimation.

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来源期刊
Aerospace Systems
Aerospace Systems Social Sciences-Social Sciences (miscellaneous)
CiteScore
1.80
自引率
0.00%
发文量
53
期刊介绍: Aerospace Systems provides an international, peer-reviewed forum which focuses on system-level research and development regarding aeronautics and astronautics. The journal emphasizes the unique role and increasing importance of informatics on aerospace. It fills a gap in current publishing coverage from outer space vehicles to atmospheric vehicles by highlighting interdisciplinary science, technology and engineering. Potential topics include, but are not limited to: Trans-space vehicle systems design and integration Air vehicle systems Space vehicle systems Near-space vehicle systems Aerospace robotics and unmanned system Communication, navigation and surveillance Aerodynamics and aircraft design Dynamics and control Aerospace propulsion Avionics system Opto-electronic system Air traffic management Earth observation Deep space exploration Bionic micro-aircraft/spacecraft Intelligent sensing and Information fusion
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