Terrain Classification and Classifier Fusion for Planetary Exploration Rovers

@article{Halatci2007TerrainCA,
  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},
  year={2007},
  pages={1-11}
}
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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Athena Mars rover

  • Squyres, W S.
  • 2003
Highly Influential
3 Excerpts

Robotics and Automation (ICRA), Orlando, Florida

  • A. Angelova, L. Matthies, D. Helmick, P. Perona
  • 2006
1 Excerpt

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