Terrain Classification and Classifier Fusion for Planetary Exploration Rovers

  title={Terrain Classification and Classifier Fusion for Planetary Exploration Rovers},
  author={Ibrahim Halatci and Christopher A. Brooks and Karl Iagnemma},
  journal={2007 IEEE Aerospace Conference},
Knowledge of the physical properties of terrain surrounding a planetary exploration rover can be used to allow a rover system to fully exploit its mobility capabilities. Here a study of multi-sensor terrain classification for planetary rovers in Mars and Mars-like environments is presented. Two classification algorithms for color, texture, and range features are presented based on maximum likelihood estimation and support vector machines. In addition, a classification method based on vibration… CONTINUE READING
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