To solve lane detection problem in the system of autonomous vehicle, this paper proposes a method of texture segment based on perspective transformation. In this paper, firstly road images were captured through cameras installed on the vehicle, then make a perspective transform to road plane, so that the road and the non-road texture information effectively stand out. After calculation of the texture trend in the transformed image, radon transform can effectively distinguish between the road and the non-road area, and achieve the purpose of the texture regional segment. Experiments prove that this method can be used on the lane detection, which eliminate barriers and road borders effectively.
Available Lane Detection Based on Radon Transform
Advanced Materials Research ; 1046 ; 415-424
2014-10-01
10 pages
Article (Journal)
Electronic Resource
English
Perspective Transform-Based Lane Detection for Lane Keep Assistance
Springer Verlag | 2024
|British Library Online Contents | 2004
|Weighted Circular Radon Transform
British Library Online Contents | 2005
|Properties of Boolean Radon Transform
British Library Online Contents | 2001
|