Building Lunar Maps for Terrain Relative Navigation and Hazard Detection Applications
Terrain Relative Navigation (TRN) systems that localize a spacecraft with respect to a map of the surface by comparing descent imagery to that reference map can only be as accurate as the reference map itself. Accurate map products that are based on orbital reconnaissance data must be validated for...
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ftnasajpl:oai:trs.jpl.nasa.gov:2014/56103 2023-05-15T18:22:31+02:00 Building Lunar Maps for Terrain Relative Navigation and Hazard Detection Applications Restrepo, Carolina I. Petro, Noah E. Barker, Michael K. Mazarico, Erwan Liounis, Andrew Gnam, Christopher Scheidt, Stephen Richardson, Jacob Ansar, Adnan I. Cheng, Yang Morgan, Zachary Iwashita, Yumi Beyer, Ross A. 2022-12-06T23:19:54Z application/pdf http://hdl.handle.net/2014/56103 en_US eng Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2022 AIAA SciTech 2022, San Diego, California, January 3-7, 2022 CL#21-6011 http://hdl.handle.net/2014/56103 Preprint 2022 ftnasajpl 2022-12-11T18:10:40Z Terrain Relative Navigation (TRN) systems that localize a spacecraft with respect to a map of the surface by comparing descent imagery to that reference map can only be as accurate as the reference map itself. Accurate map products that are based on orbital reconnaissance data must be validated for navigation applications to ensure that all relevant error sources are minimized. Currently available map products have been generated for scientific applications, so the need for accurate TRN maps remains a gap to be filled for upcoming lunar lander missions, in particular missions to the South Pole region. Additionally, representative high-resolution maps that contain lander-scale features are needed for successful development and testing of Hazard Detection (HD) systems. This paper describes one of NASA’s current efforts to develop benchmark data sets that can be used for developing and testing TRN and HD algorithms as well as suggested processes and metrics for generating and validating lunar maps that can be used for navigation and hazard detection. NASA/JPL Report South pole JPL Technical Report Server South Pole |
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Open Polar |
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JPL Technical Report Server |
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ftnasajpl |
language |
English |
description |
Terrain Relative Navigation (TRN) systems that localize a spacecraft with respect to a map of the surface by comparing descent imagery to that reference map can only be as accurate as the reference map itself. Accurate map products that are based on orbital reconnaissance data must be validated for navigation applications to ensure that all relevant error sources are minimized. Currently available map products have been generated for scientific applications, so the need for accurate TRN maps remains a gap to be filled for upcoming lunar lander missions, in particular missions to the South Pole region. Additionally, representative high-resolution maps that contain lander-scale features are needed for successful development and testing of Hazard Detection (HD) systems. This paper describes one of NASA’s current efforts to develop benchmark data sets that can be used for developing and testing TRN and HD algorithms as well as suggested processes and metrics for generating and validating lunar maps that can be used for navigation and hazard detection. NASA/JPL |
format |
Report |
author |
Restrepo, Carolina I. Petro, Noah E. Barker, Michael K. Mazarico, Erwan Liounis, Andrew Gnam, Christopher Scheidt, Stephen Richardson, Jacob Ansar, Adnan I. Cheng, Yang Morgan, Zachary Iwashita, Yumi Beyer, Ross A. |
spellingShingle |
Restrepo, Carolina I. Petro, Noah E. Barker, Michael K. Mazarico, Erwan Liounis, Andrew Gnam, Christopher Scheidt, Stephen Richardson, Jacob Ansar, Adnan I. Cheng, Yang Morgan, Zachary Iwashita, Yumi Beyer, Ross A. Building Lunar Maps for Terrain Relative Navigation and Hazard Detection Applications |
author_facet |
Restrepo, Carolina I. Petro, Noah E. Barker, Michael K. Mazarico, Erwan Liounis, Andrew Gnam, Christopher Scheidt, Stephen Richardson, Jacob Ansar, Adnan I. Cheng, Yang Morgan, Zachary Iwashita, Yumi Beyer, Ross A. |
author_sort |
Restrepo, Carolina I. |
title |
Building Lunar Maps for Terrain Relative Navigation and Hazard Detection Applications |
title_short |
Building Lunar Maps for Terrain Relative Navigation and Hazard Detection Applications |
title_full |
Building Lunar Maps for Terrain Relative Navigation and Hazard Detection Applications |
title_fullStr |
Building Lunar Maps for Terrain Relative Navigation and Hazard Detection Applications |
title_full_unstemmed |
Building Lunar Maps for Terrain Relative Navigation and Hazard Detection Applications |
title_sort |
building lunar maps for terrain relative navigation and hazard detection applications |
publisher |
Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2022 |
publishDate |
2022 |
url |
http://hdl.handle.net/2014/56103 |
geographic |
South Pole |
geographic_facet |
South Pole |
genre |
South pole |
genre_facet |
South pole |
op_relation |
AIAA SciTech 2022, San Diego, California, January 3-7, 2022 CL#21-6011 http://hdl.handle.net/2014/56103 |
_version_ |
1766201923038347264 |