TITLE

Research of Obstacle Recognition Technology in Cross-Country Environment for Unmanned Ground Vehicle

AUTHOR(S)
Zhao Yibing; Xu Hongbin; Guo Lie; Li Linhui; Zhang Mingheng
PUB. DATE
January 2014
SOURCE
Mathematical Problems in Engineering;2014, p1
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
Being aimed at the obstacle recognition problem of unmanned ground vehicles in cross-country environment, this paper uses monocular vision sensor to realize the obstacle recognition of typical obstacles. Firstly, median filtering algorithm is applied during image preprocessing that can eliminate the noise. Secondly, image segmentation method based on the Fisher criterion function is used to segment the region of interest. Then, morphological method is used to process the segmented image, which is preparing for the subsequent analysis. The next step is to extract the color feature S, color feature a and edge feature "verticality" of image are extracted based on the HSI color space, the Lab color space, and two value images. Finally multi-feature fusion algorithm based on Bayes classification theory is used for obstacle recognition. Test results show that the algorithm has good robustness and accuracy.
ACCESSION #
100526606

 

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