Visual Navigation Based On The Roadside Of The Image Recognition Algorithm Research

Recent years, Intelligent Vehicle System has become a new field which attracts more attention over the world, where Vision Navigation System should detect the running environment and locate the boundary of the road in real-time so as to guarantee the intelligent vehicle to drive autonomously, steadily and safely without manual operation.This paper primarily studies the problem about recognizing the edges of the road for navigation and adopts following operations sequence: Image preprocessing â†' Road region segmentation â†' Road edge detection â†' Road edge extraction â†' Road edge representation. For road segmentation, optimal threshold is used to extract the road region. For road edge detection, this paper improves Roberts operator so as to obtain continuous and narrow edges, the result after improvement is satisfied. Chain code tracing is applied to the segmented image and edge detected image to extract the most possible curve. One road model is built for road boundary, and a optimal fitting with multiple line segment is proposed. The whole system is tested on several series of infrared image and simulated image and achieves satisfactory results.