Adam R. Bates, Avleen S. Bijral, Jane Mulligan, and Greg Grudic; ICRA 2009 Accepted.
Many terrains in outdoor robot navigation problems have paths that are
distinct and continuous compared to the non-traversable regions. In
image space these paths correspond to continuous segments that can be
thought of as clusters embedded in image feature space. These segments
very often translate directly to traversable ground plane. In this paper
we build the intuition for semi-supervised methods in path
identification and present a Markov random walk based approach that
