• DocumentCode
    3632993
  • Title

    Automated Targeting for the MER Rovers

  • Author

    Tara Estlin;Rebecca Castano;Benjamin Bornstein;Daniel Gaines;Robert C. Anderson;Charles de Granville;David Thompson;Michael Burl;Michele Judd;Steve Chien

  • Author_Institution
    Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
  • fYear
    2009
  • Firstpage
    257
  • Lastpage
    263
  • Abstract
    The Autonomous Exploration for Gathering Increased Science System (AEGIS) will soon provide automated targeting for remote sensing instruments on the Mars Exploration Rover (MER) mission, which currently has two rovers exploring the surface of Mars. Targets for rover remote-sensing instruments, especially narrow field-of-view instruments (such as the MER Mini-TES spectrometer or the 2011 Mars Science Laboratory (MSL) Mission ChemCam Spectrometer), are typically selected manually based on imagery already on the ground with the operations team. AEGIS enables the rover flight software to analyze imagery onboard in order to autonomously select and sequence targeted remote-sensing observations in an opportunistic fashionIn this paper, we first provide background information on the larger autonomous science framework in which AEGIS was developed. We then describe how AEGIS was specifically developed and tested on the JPL FIDO rover. Finally we discuss how AEGIS will be uploaded and used on the Mars Exploration Rover (MER) mission in mid 2009.
  • Keywords
    "Mars","Remote sensing","Instruments","Spectroscopy","Image analysis","Earth","Navigation","Cameras","Laboratories","Image sequence analysis"
  • Publisher
    ieee
  • Conference_Titel
    Space Mission Challenges for Information Technology, 2009. SMC-IT 2009. Third IEEE International Conference on
  • Print_ISBN
    978-0-7695-3637-8
  • Type

    conf

  • DOI
    10.1109/SMC-IT.2009.38
  • Filename
    5226822