Automated global feature analyzer - A driver for tier-scalable reconnaissance

Wolfgang Fink; Ankur Datta; James M. Dohm; Mark A. Tarbell; Farrah M. Jobling; Roberto Furfaro; Jeffrey S. Kargel; Dirk Schulze-Makuch; Victor R. Baker

doi:10.1109/AERO.2008.4526422

Automated global feature analyzer - A driver for tier-scalable reconnaissance

Wolfgang Fink, Ankur Datta, James M. Dohm, Mark A. Tarbell, Farrah M. Jobling, Roberto Furfaro, Jeffrey S. Kargel, Dirk Schulze-Makuch, Victor R. Baker

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

28 Scopus citations

Abstract

For the purposes of space flight, reconnaissance field geologists have trained to become astronauts. However, the initial forays to Mars and other planetary bodies have been done by purely robotic craft. Therefore, training and equipping a robotic craft with the sensory and cognitive capabilities of a field geologist to form a science craft is a necessary prerequisite. Numerous steps are necessary in order for a science craft to be able to map, analyze, and characterize a geologic field site, as well as effectively formulate working hypotheses. We report on the continued development of the integrated software system AGFA: Automated Global Feature Analyzer

Original language	English (US)
Title of host publication	2008 IEEE Aerospace Conference, AC
DOIs	https://doi.org/10.1109/AERO.2008.4526422
State	Published - 2008
Event	2008 IEEE Aerospace Conference, AC - Big Sky, MT, United States Duration: Mar 1 2008 → Mar 8 2008

Publication series

Name	IEEE Aerospace Conference Proceedings
ISSN (Print)	1095-323X

Other

Other	2008 IEEE Aerospace Conference, AC
Country/Territory	United States
City	Big Sky, MT
Period	3/1/08 → 3/8/08

ASJC Scopus subject areas

Aerospace Engineering
Space and Planetary Science

Access to Document

10.1109/AERO.2008.4526422

Cite this

Fink, W, Datta, A, Dohm, JM, Tarbell, MA, Jobling, FM, Furfaro, R, Kargel, JS, Schulze-Makuch, D & Baker, VR 2008, Automated global feature analyzer - A driver for tier-scalable reconnaissance. in 2008 IEEE Aerospace Conference, AC., 4526422, IEEE Aerospace Conference Proceedings, 2008 IEEE Aerospace Conference, AC, Big Sky, MT, United States, 3/1/08. https://doi.org/10.1109/AERO.2008.4526422

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abstract = "For the purposes of space flight, reconnaissance field geologists have trained to become astronauts. However, the initial forays to Mars and other planetary bodies have been done by purely robotic craft. Therefore, training and equipping a robotic craft with the sensory and cognitive capabilities of a field geologist to form a science craft is a necessary prerequisite. Numerous steps are necessary in order for a science craft to be able to map, analyze, and characterize a geologic field site, as well as effectively formulate working hypotheses. We report on the continued development of the integrated software system AGFA: Automated Global Feature Analyzer",

author = "Wolfgang Fink and Ankur Datta and Dohm, {James M.} and Tarbell, {Mark A.} and Jobling, {Farrah M.} and Roberto Furfaro and Kargel, {Jeffrey S.} and Dirk Schulze-Makuch and Baker, {Victor R.}",

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doi = "10.1109/AERO.2008.4526422",

language = "English (US)",

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AU - Fink, Wolfgang

AU - Datta, Ankur

AU - Dohm, James M.

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AU - Furfaro, Roberto

AU - Kargel, Jeffrey S.

AU - Schulze-Makuch, Dirk

AU - Baker, Victor R.

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AB - For the purposes of space flight, reconnaissance field geologists have trained to become astronauts. However, the initial forays to Mars and other planetary bodies have been done by purely robotic craft. Therefore, training and equipping a robotic craft with the sensory and cognitive capabilities of a field geologist to form a science craft is a necessary prerequisite. Numerous steps are necessary in order for a science craft to be able to map, analyze, and characterize a geologic field site, as well as effectively formulate working hypotheses. We report on the continued development of the integrated software system AGFA: Automated Global Feature Analyzer

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M3 - Conference contribution

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Automated global feature analyzer - A driver for tier-scalable reconnaissance

Abstract

Publication series

Other

ASJC Scopus subject areas

Access to Document

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