Testing for the MMX Rover Autonomous Navigation Experiment on Phobos

Lukas Meyer, Mallikarjuna Vayugundla, Patrick Kenny, Michal Smíšek, J. Biele, A. Maturilli, M. Müller, W. Stürzl, M. J. Schuster, T. Bodenmüller, A. Wedler, Rudolph Triebel
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Abstract

The MMX rover will explore the surface of Phobos, Mars' bigger moon. It will use its stereo cameras for perceiving the environment, enabling the use of vision based autonomous navigation algorithms. The German Aerospace Center (DLR) is currently developing the corresponding autonomous navigation experiment that will allow the rover to efficiently explore the surface of Phobos, despite limited communication with Earth and long turn-around times for operations. This paper discusses our testing strategy regarding the autonomous navigation solution. We present our general testing strategy for the software considering a development approach with agile aspects. We detail, how we ensure successful integration with the rover system despite having limited access to the flight hardware. We furthermore discuss, what environmental conditions on Phobos pose a potential risk for the navigation algorithms and how we test for these accordingly. Our testing is mostly data set-based and we describe our approaches for recording navigation data that is representative both for the rover system and also for the Phobos environment. Finally, we make the corresponding data set publicly available and provide an overview on its content.
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火卫一上MMX探测车自主导航实验测试
MMX探测车将探索火卫一的表面,火卫一是火星较大的卫星。它将使用立体摄像头来感知环境,从而使用基于视觉的自主导航算法。德国航空航天中心(DLR)目前正在开发相应的自主导航实验,该实验将使火星车能够有效地探索火卫一表面,尽管与地球的通信有限,操作周转时间长。本文讨论了自主导航解决方案的测试策略。我们提出了考虑到敏捷方面的开发方法的软件的通用测试策略。我们详细介绍了如何确保与漫游者系统的成功集成,尽管对飞行硬件的访问有限。我们进一步讨论,火卫一上的环境条件对导航算法构成潜在风险,以及我们如何相应地测试这些。我们的测试主要是基于数据集的,我们描述了我们记录导航数据的方法,这些数据既代表了火卫一系统,也代表了火卫一环境。最后,我们公开了相应的数据集,并概述了其内容。
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