DocumentCode
625091
Title
A Proof-of-Concept, Rover-Based System for Autonomously Locating Methane Gas Sources on Mars
Author
Berczi, Laszlo-Peter ; Gammell, Jonathan D. ; Chi Hay Tong ; Daly, Michael ; Barfoot, Timothy D.
Author_Institution
Inst. for Aerosp. Studies, Univ. of Toronto, Toronto, ON, Canada
fYear
2013
fDate
28-31 May 2013
Firstpage
29
Lastpage
36
Abstract
This paper presents a proof-of-concept, rover-based system to locate the source(s) of methane gas on Mars. A distributed open-path spectrometer is mounted on a rover and pointed at several retroreflective signs to measure the line-of-sight methane concentration between the rover and sign. By moving the rover around and accumulating such measurements, the location of a methane source can be determined. The system was integrated and tested over a 2 kilometre traverse in an analog mission at the Canadian Space Agency on the Mars Emulation Terrain. Engineering results suggest that total driving distance is comparable to other similar methods, but by using a network of reusable paths, the total distance driven in new terrain can be reduced by a factor of five. Autonomous pointing of signs was successful 80% of the time. Future work includes combining the engineering and science data from the analog mission to better understand how to locate methane sources.
Keywords
aerospace robotics; chemical variables measurement; ground penetrating radar; mobile robots; optical images; path planning; planetary rovers; robot vision; spectrometers; Canadian Space Agency; Mars Emulation Terrain; autonomous methane gas source localization; autonomous pointing; close-range sensors; distributed open-path spectrometer; fluorescence imager; ground-penetrating RADAR; line-of-sight methane concentration measurement; retroreflective signs; reusable paths; rover-based system; total driving distance; Extraterrestrial measurements; Feature extraction; Mars; Measurement by laser beam; Simultaneous localization and mapping; Software; Visualization; autonomous; methane; rover; sign; spectrometer;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Robot Vision (CRV), 2013 International Conference on
Conference_Location
Regina, SK
Print_ISBN
978-1-4673-6409-6
Type
conf
DOI
10.1109/CRV.2013.16
Filename
6569181
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