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Planetary Rover Localization Within Orbital MapsThis paper introduces an advanced rover localization system suitable for autonomous planetary exploration in the absence of Global Positioning System (GPS) infrastructure. Given an existing terrain map (image and elevation) obtained from satellite imagery and the images provided by the rover stereo camera system, the proposed method determines the best rover location through visual odometry, 3D terrain and hori- zon matching. The system is tested on data retrieved from a 3 km traverse of the Basalt Hills quarry in California where the GPS track is used as ground truth. Experimental results show the system presented here reduces by over 60 the localization error obtained by wheel odometry.
Document ID
20190001760
Acquisition Source
Ames Research Center
Document Type
Conference Paper
Authors
Nefian, A. V.
(Stinger Ghaffarian Technologies Inc. (SGT Inc.) Moffett Field, CA, United States)
Bouyssounouse, X.
(NASA Ames Research Center Moffett Field, CA, United States)
Edwards, L.
(NASA Ames Research Center Moffett Field, CA, United States)
Kim, T.
(Stinger Ghaffarian Technologies Inc. (SGT Inc.) Moffett Field, CA, United States)
Hand, E.
Rhizor, J.
Deans, M.
(NASA Ames Research Center Moffett Field, CA, United States)
Bebis, George
(Nevada Univ. Reno, NV, United States)
Fong, T.
Dille, Michael
(Stinger Ghaffarian Technologies Inc. (SGT Inc.) Moffett Field, CA, United States)
Date Acquired
March 22, 2019
Publication Date
October 27, 2014
Subject Category
Cybernetics, Artificial Intelligence And Robotics
Report/Patent Number
ARC-E-DAA-TN16727
Report Number: ARC-E-DAA-TN16727
Meeting Information
Meeting: IEEE The International Conference on Image Processing (ICIP)
Location: Paris
Country: France
Start Date: October 27, 2014
End Date: October 30, 2014
Sponsors: Institute of Electrical and Electronics Engineers
Funding Number(s)
CONTRACT_GRANT: NNA14AA60C
Distribution Limits
Public
Copyright
Public Use Permitted.
Keywords
localization
visual odometry
autonomous navigation
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