Closed-loop AI-aided image-based GNC for autonomous inspection of uncooperative space objects

IF 5 1区工程技术 Q1 ENGINEERING, AEROSPACE

Aerospace Science and Technology Pub Date : 2024-10-29 DOI:10.1016/j.ast.2024.109700

Andrea Brandonisio , Michele Bechini , Gaia Letizia Civardi, Lorenzo Capra, Michèle Lavagna

引用次数: 0

Abstract

Autonomy is increasingly crucial in space missions due to several factors driving the exploration and utilization of space. In the meanwhile, Artificial Intelligence methods begin to play a crucial role in addressing the challenges associated with and enhancing autonomy in space missions. The proposed work develops a closed-loop simulator for proximity operations scenarios, particularly for the inspection of an unknown and uncooperative target object, with a fully AI-based image processing and GNC chain. This tool is based on four main blocks: image generation, image processing, navigation filter, and guidance and control blocks. All of them have been separately tested and tuned to ensure the correct interface and compatibility in the close-loop architecture. Afterwards, the overall architecture is deployed in an extensive Montecarlo testing campaign to verify and validate the performance of the proposed IP-GNC loop.

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基于图像的闭环人工智能辅助 GNC，用于自主检测不合作的空间物体

由于空间探索和利用的若干驱动因素，自主性在空间飞行任务中越来越重要。与此同时，人工智能方法开始在应对与空间任务相关的挑战和增强自主性方面发挥关键作用。拟议的工作开发了一个闭环模拟器，用于近距离操作场景，特别是对未知和不合作目标物体的检查，该模拟器具有完全基于人工智能的图像处理和 GNC 链。该工具基于四个主要模块：图像生成、图像处理、导航过滤器以及制导和控制模块。所有这些模块都经过单独测试和调整，以确保闭环架构中的正确接口和兼容性。随后，在广泛的蒙特卡洛测试活动中部署了整体架构，以验证和确认所建议的 IP-GNC 环路的性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Aerospace Science and Technology 工程技术-工程：宇航

CiteScore

10.30

自引率

28.60%

发文量

654

审稿时长

54 days

期刊介绍： Aerospace Science and Technology publishes articles of outstanding scientific quality. Each article is reviewed by two referees. The journal welcomes papers from a wide range of countries. This journal publishes original papers, review articles and short communications related to all fields of aerospace research, fundamental and applied, potential applications of which are clearly related to: • The design and the manufacture of aircraft, helicopters, missiles, launchers and satellites • The control of their environment • The study of various systems they are involved in, as supports or as targets. Authors are invited to submit papers on new advances in the following topics to aerospace applications: • Fluid dynamics • Energetics and propulsion • Materials and structures • Flight mechanics • Navigation, guidance and control • Acoustics • Optics • Electromagnetism and radar • Signal and image processing • Information processing • Data fusion • Decision aid • Human behaviour • Robotics and intelligent systems • Complex system engineering. Etc.