• DocumentCode
    3482739
  • Title

    Thermal imaging for autonomous vehicle in outdoor scenes

  • Author

    Caillas, Claude

  • Author_Institution
    Robotics Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
  • fYear
    1990
  • fDate
    3-6 Jul 1990
  • Firstpage
    651
  • Abstract
    Describes methods that use thermal imaging techniques for identifying different types of materials in outdoor scenes. First, the author analyzes how computer vision techniques applied to thermal images allow discriminating materials such as rock and sand. Second, he presents the model developed to calculate the temperature of materials. By applying this model, he shows that it is possible to determine a physical characteristic of the material, the thermal inertia. Third, as an application, he examines how an autonomous robot can use these techniques to explore other planets. In particular, he shows how a legged robot can use thermal inertia and so select where to place its foot next or which material to sample
  • Keywords
    aerospace control; computer vision; infrared imaging; mobile robots; pattern recognition; autonomous robot; autonomous vehicle; computer vision; legged robot; mobile robots; pattern recognition; space robotics; thermal imaging; thermal inertia; Image analysis; Image segmentation; Layout; Legged locomotion; Mars; Mobile robots; NASA; Planets; Remotely operated vehicles; Temperature;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems '90. 'Towards a New Frontier of Applications', Proceedings. IROS '90. IEEE International Workshop on
  • Conference_Location
    Ibaraki
  • Type

    conf

  • DOI
    10.1109/IROS.1990.262477
  • Filename
    262477