dc.contributor.author |
Johnson, A. |
|
dc.contributor.author |
Villaume, N. |
|
dc.contributor.author |
Umsted, C. |
|
dc.contributor.author |
Kourchians, A. |
|
dc.contributor.author |
Sternberg, D. |
|
dc.contributor.author |
Trawny, N. |
|
dc.contributor.author |
Cheng, Y. |
|
dc.contributor.author |
Geipel, E. |
|
dc.contributor.author |
Montgomery, J. |
|
dc.date.accessioned |
2020-03-06T19:12:58Z |
|
dc.date.available |
2020-03-06T19:12:58Z |
|
dc.date.issued |
2020-01-30 |
|
dc.identifier.citation |
43rd Annual AAS Guidance, Navigation and Control Conference 2020, January 30 - February 5, 2020 |
en_US |
dc.identifier.clearanceno |
20-0571 |
|
dc.identifier.uri |
http://hdl.handle.net/2014/47468 |
|
dc.description.abstract |
The Mars 2020 Lander Vision System estimates position relative to a map and provides this information to the spacecraft so that large hazards can be avoided during landing. The LVS is a new mission critical sensor and as such requires extensive validation. A field test conducted in May 2019 was the primary means to prove that the LVS will operate as designed. During this test over 600 independent real-time runs on engineering model LVS hardware and software were executed and clearly showed that it could meet a 40m position estimation requirement over a wide operational envelope. This paper will describe the test approach, operations and results. Specific examples as well as aggregate performance will be discussed along with off-nominal testing and fault recovery. |
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, 2020 |
en_US |
dc.title |
The Mars 2020 lander vision system field test |
en_US |
dc.type |
Preprint |
en_US |