Geodesic Active Contours and Level Sets for the Detection and Tracking of Moving Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
Lane following and lane departure using a linear-parabolic model
Image and Vision Computing
Video-based lane estimation and tracking for driver assistance: survey, system, and evaluation
IEEE Transactions on Intelligent Transportation Systems
The YARF system for vision-based road following
Mathematical and Computer Modelling: An International Journal
GOLD: a parallel real-time stereo vision system for generic obstacle and lane detection
IEEE Transactions on Image Processing
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The rapid growing volume of traffic has a critical affect on economic development but causes large amount of traffic accidents. The paper attempts to develop a driver assistance system based on monocular vision. Main function of the system is to find a collision-free path by lane tracking and obstacle detection. The paper proposes a lane markings detection method which is applicable to variant illumination and complex outdoor environment. The built system will issue a warning signal when it detects a lane departure of the vehicle. For obstacle detection, we use gradient information to find the feature points of the object first and estimate the distance of the object by means of triangulation. Experimental results demonstrate the effectiveness of the proposed approach.