road region detection is a crucial functionality for road following in advanced driver assistance systems(ADAS).To address the problem of environment interference in roadsegmentation through a monocular vision approa...
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road region detection is a crucial functionality for road following in advanced driver assistance systems(ADAS).To address the problem of environment interference in roadsegmentation through a monocular vision approach,a novel graph-cutbasedmethod is proposed in this *** novelty of this proposal is that weights of neighboringlinks(n-links) in a s-t graph are estimated by Multilayer Perceptrons(MLPs) rather than calculating by the neighboring contrast simply in previous graph-cutbased *** n-linkweights by MLPs reinforces the ability of graph-cutbasedroadsegmentation algorithms to tolerate the complex and changeable appearance of road ***,the Gentle Ada Boost algorithm is integrated into the graph-cut framework to estimate the terminal link(t-link) weights in the s-t *** are conducted to show the robustness and efficiency of the proposed method.
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