Strategies for autonomous rovers at Mars

Citation
Ms. Gilmore et al., Strategies for autonomous rovers at Mars, J GEO R-PLA, 105(E12), 2000, pp. 29223-29237
Citations number
48
Language
INGLESE
art.tipo
Article
Categorie Soggetti
Space Sciences
Journal title
JOURNAL OF GEOPHYSICAL RESEARCH-PLANETS
ISSN journal
2169-9097 → ACNP
Volume
105
Issue
E12
Year of publication
2000
Pages
29223 - 29237
Database
ISI
SICI code
0148-0227(200012)105:E12<29223:SFARAM>2.0.ZU;2-Y
Abstract
The science return from future robotic exploration of the Martian surface c an be enhanced by performing routine processing using onboard computers. Th is can be accomplished by using software that recognizes scientifically rel evant surface features from imaging and other data and prioritizes the data for return transmission to Earth. Two algorithms have been designed and ev aluated with field data to identify the properties of the environment that can be reliably detected with onboard imaging and multispectral observation . One algorithm identifies variations in surface textures in images and suc cessfully distinguishes between rocks and soil and between differences in g rain size in a rock of a single composition. A second algorithm utilizes a neural net to recognize selected carbonate minerals from spectral reflectan ce data and successfully identifies carbonates from a set of spectra collec ted in the field. These types of algorithms will contribute to the efficien cy of a landed instrument suite given the limited resources of time, data s torage, and available communications opportunities.