Autonomous image analyses during the 1999 Marsokhod rover field test

Virginia C. Gulick, Robert L. Morris, Mark A. Ruzon, Ted L. Roush

Research output: Contribution to journalArticlepeer-review

55 Scopus citations

Abstract

A Martian rover capable of analyzing images autonomously could traverse greater path lengths and return data with greater scientific content. A more intelligent rover could, for example, automatically select targets of interest (e.g., rocks, layers), return spectral or high-resolution image data of these targets at the same time, remove less interesting or redundant parts of images before transmitting them, and provide compact information or representations of its environment. Three prototype algorithms, a horizon detector, a rock detector, and a layer detector have been developed and tested during the 1999 Marsokhod rover field test in Silver Lake, California. The results are encouraging and demonstrate the potential savings in time as well as the potential increase in the amount of relevant science data returned in each command cycle.

Original languageEnglish (US)
Article number1999JE001182
Pages (from-to)7745-7763
Number of pages19
JournalJournal of Geophysical Research E: Planets
Volume106
Issue numberE4
DOIs
StatePublished - Apr 25 2001
Externally publishedYes

ASJC Scopus subject areas

  • Geophysics
  • Forestry
  • Oceanography
  • Aquatic Science
  • Ecology
  • Water Science and Technology
  • Soil Science
  • Geochemistry and Petrology
  • Earth-Surface Processes
  • Atmospheric Science
  • Earth and Planetary Sciences (miscellaneous)
  • Space and Planetary Science
  • Palaeontology

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