Benchmark Analysis of Semantic Segmentation Algorithms for Safe Planetary Landing Site Selection
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DOI: 10.1109/access.2022.3167763
Abstract: This paper presents an in-depth analysis of state-of-the-art semantic segmentation algorithms applied to spacecraft safe planetary landing via hazard detection and avoidance. Several architectures are trained from binary safety maps and the rich dataset of… read more here.
Keywords: planetary landing; segmentation algorithms; analysis; safe planetary ... See more keywords