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- Title
Long-range rover localization by matching LIDAR scans to orbital elevation maps.
- Authors
Carle, Patrick J.F.; Furgale, Paul T.; Barfoot, Timothy D.
- Abstract
Current rover localization techniques such as visual odometry have proven to be very effective on short- to medium-length traverses (e.g., up to a few kilometers). This paper deals with the problem of long-range rover localization (e.g., 10 km and up) by developing an algorithm named MOGA (Multi-frame Odometry-compensated Global Alignment). This algorithm is designed to globally localize a rover by matching features detected from a three-dimensional (3D) orbital elevation map to features from rover-based, 3D LIDAR scans. The accuracy and efficiency of MOGA are enhanced with visual odometry and inclinometer/sun-sensor orientation measurements. The methodology was tested with real data, including 37 LIDAR scans of terrain from a Mars–Moon analog site on Devon Island, Nunavut. When a scan contained a sufficient number of good topographic features, localization produced position errors of no more than 100 m, of which most were less than 50 m and some even as low as a few meters. Results were compared to and shown to outperform VIPER, a competing global localization algorithm that was given the same initial conditions as MOGA. On a 10-km traverse, MOGA's localization estimates were shown to significantly outperform visual odometry estimates. This paper shows how the developed algorithm can be used to accurately and autonomously localize a rover over long-range traverses. © 2010 Wiley Periodicals, Inc.
- Subjects
ALGORITHMS; ROVER automobiles; NOMOGRAPHY (Mathematics); LOCALIZATION theory; METHODOLOGY
- Publication
Journal of Field Robotics, 2010, Vol 27, Issue 3, p344
- ISSN
1556-4959
- Publication type
Article
- DOI
10.1002/rob.20336