“…learning terrain slippage (Angelova et al, 2006) and traversability (Angelova et al, 2007) to improve mobility or to avoid getting stuck, with human supervision and Bayesian estimates (Ollis et al, 2007), learning depth from monocular images (Saxena et al, 2007) or learning natural and man-made pathways from color and texture (Blas et al, 2008). Learning algorithms can also be used to extend stereo vision range with near-to-far learning, learning the long-range appearance of terrains and obstacles using color features (Albus et al, 2006) with Markov random fields (Vernaza et al, 2008), with suitable features and a linear support vector machine (Bajracharya et al, 2008), or using reverse optical flow (Lookingbill et al, 2007). Typically trained off-line, features can also be learned online to provide a continuous adaptability (Grudic et al, 2007).…”