Data-driven surface traversability analysis for Mars 2020 landing site selection

The objective of this paper is three-fold: 1) to describe the engineering challenges in the surface mobility of the Mars 2020 Rover mission that are considered in the landing site selection processs, 2) to introduce new automated traversability analysis capabilities, and 3) to present the preliminar...

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Bibliographic Details
Published in2016 IEEE Aerospace Conference pp. 1 - 12
Main Authors Ono, Masahiro, Rothrock, Brandon, Almeida, Eduardo, Ansar, Adnan, Otero, Richard, Huertas, Andres, Heverly, Matthew
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.03.2016
Subjects
Earth
Hazards
Mars
Optimization
Planning
Rocks
Vehicles
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Summary:The objective of this paper is three-fold: 1) to describe the engineering challenges in the surface mobility of the Mars 2020 Rover mission that are considered in the landing site selection processs, 2) to introduce new automated traversability analysis capabilities, and 3) to present the preliminary analysis results for top candidate landing sites. The analysis capabilities presented in this paper include automated terrain classification, automated rock detection, digital elevation model (DEM) generation, and multi-ROI (region of interest) route planning. These analysis capabilities enable to fully utilize the vast volume of high-resolution orbiter imagery, quantitatively evaluate surface mobility requirements for each candidate site, and reject subjectivity in the comparison between sites in terms of engineering considerations. The analysis results supported the discussion in the Second Landing Site Workshop held in August 2015, which resulted in selecting eight candidate sites that will be considered in the third workshop.
DOI:10.1109/AERO.2016.7500597