Learning traversability models for autonomous mobile vehicles

@article{Shneier2008LearningTM,
  title={Learning traversability models for autonomous mobile vehicles},
  author={Michael Shneier and Tommy Chang and Tsai Hong and William P. Shackleford and Roger Bostelman and James S. Albus},
  journal={Auton. Robots},
  year={2008},
  volume={24},
  pages={69-86}
}
Autonomous mobile robots need to adapt their behavior to the terrain over which they drive, and to predict the traversability of the terrain so that they can effectively plan their paths. Such robots usually make use of a set of sensors to investigate the terrain around them and build up an internal representation that enable them to navigate. This paper… CONTINUE READING