Color Road Segmentation And Video Obstacle Detection

Matthew A. Turk; Martin Marra

doi:10.1117/12.937792

25 February 1987 Color Road Segmentation And Video Obstacle Detection

Matthew A. Turk, Martin Marra

Proceedings Volume 0727, Mobile Robots I; (1987) https://doi.org/10.1117/12.937792
Event: Cambridge Symposium_Intelligent Robotics Systems, 1986, Cambridge, MA, United States

Abstract

The primary vision task in road-following for a mobile robot is to provide a description of the road environment, including possible obstacles on the road. Techniques are presented for road segmentation and obstacle detection based on color video data. Using constraints on road characteristics in the image space and in 3D color space, the road is extracted and represented by its edges. Assuming vehicle movement, obstacles are detected at a distance and an obstacle avoidance mode is entered.

Citation Download Citation

Matthew A. Turk and Martin Marra "Color Road Segmentation And Video Obstacle Detection", Proc. SPIE 0727, Mobile Robots I, (25 February 1987); https://doi.org/10.1117/12.937792

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