Elevation-map based regional hazard detection for planetary landing

Bei Wang, Hutao Cui
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Abstract

Future planetary exploration missions will aim at landing a spacecraft in hazardous or unknown regions of a distant planet, thereby requiring an ability to autonomously detect and avoid surface hazards and land at an affirmed safe site. Descent stage is typically subdivided into several stages to detect different hazards of varying styles and sizes. This paper focuses on those large surface features that could be detected at a high altitude and we present an elevation-map based regional hazard detection algorithm using image segmentation techniques. The algorithm is tested using Martian elevation maps and testing results show that the proposed algorithm is effective at detecting typical regional hazards such as craters, ravines and ridges, and reliable in selecting a safe and cheap landing window.
基于高程图的行星着陆区域危害检测
未来的行星探测任务将旨在使航天器在遥远行星的危险或未知区域着陆,因此需要具有自主探测和避免表面危险并在确定的安全地点着陆的能力。下降阶段通常被细分为几个阶段,以检测不同类型和大小的不同危险。本文针对在高海拔地区可以检测到的大型地物,提出了一种基于高程图的区域灾害检测算法。利用火星高程图对该算法进行了测试,测试结果表明,该算法在探测陨石坑、沟壑和山脊等典型区域灾害方面是有效的,在选择安全、廉价的着陆窗口方面是可靠的。
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