Frequency response method for terrain classification in autonomous ground vehicles

Author:

DuPont Edmond M.,Moore Carl A.,Collins Emmanuel G.,Coyle Eric

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Reference33 articles.

1. Allen, J. (2002). Four-wheeler’s bible. St. Paul: MotorBooks.

2. Angelova, A., Matthies, L., Helmick, D., & Perona, P. (2007). Fast terrain classification using variable-length representation for autonomous navigation. In Proceedings of the IEEE conference on computer vision and pattern recognition (CVPR) (pp. 1–8).

3. Bradley, D., Thayer, S., Stentz, A., & Rander, P. (2004). Vegetation detection for mobile robot navigation (Technical Report CMU-RI-TR-04-12). Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, February 2004.

4. Brooks, C., Iagnemma, K., & Dubowsky, S. (2002). Vibration-based terrain analysis for mobile robots. In Proceedings of the IEEE international conference on robotics and automation (ICRA) (pp. 3142–3147), Barcelona, Spain, May 2002.

5. Cacoullous, R. (1966). Estimation of a probability density. Annals of the Institute of Statistical Mathematics (Tokyo), 18(2), 179–189.

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