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

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dc.contributor.author Ono, Masahiro
dc.contributor.author Rothrock, Brandon
dc.contributor.author Almeida, Eduardo
dc.contributor.author Ansar, Adnan
dc.contributor.author Otero, Richard
dc.contributor.author Huertas, Andres
dc.contributor.author Heverly, Matthew
dc.date.accessioned 2017-07-26T16:24:43Z
dc.date.available 2017-07-26T16:24:43Z
dc.date.issued 2016-03-05
dc.identifier.citation 2016 IEEE Aerospace Conference, Big Sky, Montana, March 5-12, 2016 en_US
dc.identifier.clearanceno 16-0117
dc.identifier.uri http://hdl.handle.net/2014/45797
dc.description.abstract This paper is to describe the engineering challenges in the surface mobility of the Mars 2020 Rover mission that are considered in the landing site selection process, introduce new automated traversability analysis capabilities, and present the preliminary analysis results for top candidate landing sites. en_US
dc.description.sponsorship NASA/JPL en_US
dc.language.iso en_US en_US
dc.publisher Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2016 en_US
dc.title Data-driven surface traversability analysis for Mars 2020 landing site selection en_US
dc.type Presentation en_US


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