A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2016; you can also visit the original URL.
The file type is application/pdf
.
Detection of Drivable Corridors for Off-Road Autonomous Navigation
2006
2006 International Conference on Image Processing
This paper describes a hierarchical Bayesian network used for segmenting desert images and detecting off road drivable corridors for autonomous navigation. Unlike the embedded hidden Markov model the Bayesian network presented in this paper can successfully account for natural dependencies between neighboring pixels in both image dimensions making it more suitable for a larger class of images. The method described here was developed within the Stanford racing team that won the DARPA Grand
doi:10.1109/icip.2006.313004
dblp:conf/icip/NefianB06
fatcat:wihfpsxs3jaxlcaqxhjhxmap2m