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ABSTRACT
Obstacle detection in the intelligent vehicle vision navigation system occupies a very important role￡?Obstacle detection process is divided into two aspects: the identification of obstacles and obstructions distance estimates based on machine vision technology.
At the beginning of this paper, we firstly introduce the development of intelligence automobile oversea and domestic. Followed by, discussed the deal with the obstacle recognition technology based on monocular vision. Comprehensive analysis of a variety of image segmentation method, and experimental comparison, and selection of the bimodal France to strike the threshold, image processing, and to identify the obstacles according to the image's pixel difference. Least squares fit to the location of the obstacle in the image.
Prove the paper presents the obstacle detection and recognition technology to distinguish between pseudo-obstruction preliminary experimental comparison groups. And can estimate the location of the obstacle in the image. The experimental results show that the method has a certain timeliness, reliability and accuracy.
Key words: Monocular Vision; Image processing; Monocular Measurement; Obstacle Detection
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