Long-range Rover Localization by Matching Lidar Scans to Orbital Elevation Maps
Current planetary rover localization techniques are lacking in autonomy and accuracy. An autonomous method of globally localizing a rover is proposed by matching features extractedvfrom a 3D orbital elevation map and rover-based 3D lidar scans. Localization can be further improved by including odome...
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ftunivtoronto:oai:localhost:1807/17497 2023-05-15T16:00:47+02:00 Long-range Rover Localization by Matching Lidar Scans to Orbital Elevation Maps Carle, Patrick J. F. Barfoot, Timothy D. Aerospace Science and Engineering NO_RESTRICTION http://hdl.handle.net/1807/17497 en_ca eng http://hdl.handle.net/1807/17497 localization mobile robotics autonomy space robotics 0538 Thesis ftunivtoronto 2020-06-17T11:13:47Z Current planetary rover localization techniques are lacking in autonomy and accuracy. An autonomous method of globally localizing a rover is proposed by matching features extractedvfrom a 3D orbital elevation map and rover-based 3D lidar scans. Localization can be further improved by including odometry measurements as well as orientation measurements from an inclinometer and sun sensor. The methodology was tested with real data from a Mars-Moon analogue site on Devon Island, Nunavut. By tying 23 real scans together with simulated odometry over a 10km traverse, the algorithm was able to localize with varying degrees of accuracy. Output uncertainties were large due to large input uncertainties, but these could be reduced in future experimentation by minimizing the use of simulated input data. It was concluded that the architecture could be used to accurately and autonomously localize a rover over long-range traverses. MAST Thesis Devon Island Nunavut University of Toronto: Research Repository T-Space Nunavut Devon Island ENVELOPE(-88.000,-88.000,75.252,75.252) |
institution |
Open Polar |
collection |
University of Toronto: Research Repository T-Space |
op_collection_id |
ftunivtoronto |
language |
English |
topic |
localization mobile robotics autonomy space robotics 0538 |
spellingShingle |
localization mobile robotics autonomy space robotics 0538 Carle, Patrick J. F. Long-range Rover Localization by Matching Lidar Scans to Orbital Elevation Maps |
topic_facet |
localization mobile robotics autonomy space robotics 0538 |
description |
Current planetary rover localization techniques are lacking in autonomy and accuracy. An autonomous method of globally localizing a rover is proposed by matching features extractedvfrom a 3D orbital elevation map and rover-based 3D lidar scans. Localization can be further improved by including odometry measurements as well as orientation measurements from an inclinometer and sun sensor. The methodology was tested with real data from a Mars-Moon analogue site on Devon Island, Nunavut. By tying 23 real scans together with simulated odometry over a 10km traverse, the algorithm was able to localize with varying degrees of accuracy. Output uncertainties were large due to large input uncertainties, but these could be reduced in future experimentation by minimizing the use of simulated input data. It was concluded that the architecture could be used to accurately and autonomously localize a rover over long-range traverses. MAST |
author2 |
Barfoot, Timothy D. Aerospace Science and Engineering |
format |
Thesis |
author |
Carle, Patrick J. F. |
author_facet |
Carle, Patrick J. F. |
author_sort |
Carle, Patrick J. F. |
title |
Long-range Rover Localization by Matching Lidar Scans to Orbital Elevation Maps |
title_short |
Long-range Rover Localization by Matching Lidar Scans to Orbital Elevation Maps |
title_full |
Long-range Rover Localization by Matching Lidar Scans to Orbital Elevation Maps |
title_fullStr |
Long-range Rover Localization by Matching Lidar Scans to Orbital Elevation Maps |
title_full_unstemmed |
Long-range Rover Localization by Matching Lidar Scans to Orbital Elevation Maps |
title_sort |
long-range rover localization by matching lidar scans to orbital elevation maps |
publishDate |
|
url |
http://hdl.handle.net/1807/17497 |
long_lat |
ENVELOPE(-88.000,-88.000,75.252,75.252) |
geographic |
Nunavut Devon Island |
geographic_facet |
Nunavut Devon Island |
genre |
Devon Island Nunavut |
genre_facet |
Devon Island Nunavut |
op_relation |
http://hdl.handle.net/1807/17497 |
_version_ |
1766396797782065152 |