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Horizon Based Orientation Estimation for Planetary Surface NavigationPlanetary rovers navigate in extreme environments for which a Global Positioning System (GPS) is unavailable, maps are restricted to relatively low resolution provided by orbital imagery, and compass information is often lacking due to weak or not existent magnetic fields. However, an accurate rover localization is particularly important to achieve the mission success by reaching the science targets, avoiding negative obstacles visible only in orbital maps, and maintaining good communication connections with ground. This paper describes a horizon solution for precise rover orientation estimation. The detected horizon in imagery provided by the on board navigation cameras is matched with the horizon rendered over the existing terrain model. The set of rotation parameters (roll, pitch yaw) that minimize the cost function between the two horizon curves corresponds to the rover estimated pose.
Document ID
20160011500
Acquisition Source
Ames Research Center
Document Type
Conference Paper
Authors
Bouyssounouse, X.
(NASA Ames Research Center Moffett Field, CA United States)
Nefian, A. V.
(SGT, Inc. Moffett Field, CA, United States)
Deans, M.
(NASA Ames Research Center Moffett Field, CA United States)
Thomas, A.
(Stanford Univ. Stanford, CA, United States)
Edwards, L.
(NASA Ames Research Center Moffett Field, CA United States)
Fong, T.
(NASA Ames Research Center Moffett Field, CA United States)
Date Acquired
September 27, 2016
Publication Date
September 25, 2016
Subject Category
Lunar And Planetary Science And Exploration
Report/Patent Number
ARC-E-DAA-TN35019
Meeting Information
Meeting: IEEE International Conference on Image Processing
Location: Phoenix, AZ
Country: United States
Start Date: September 25, 2016
End Date: September 28, 2016
Sponsors: Institute of Electrical and Electronics Engineers
Funding Number(s)
CONTRACT_GRANT: NNA14AA60C
Distribution Limits
Public
Copyright
Public Use Permitted.
Keywords
localization
autonomous navigation
horizon matching
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