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Erschienen in:
2008 | OriginalPaper | Buchkapitel
Driver Assistance System Based on Monocular Vision
verfasst von : Yu-Min Chiang, No-Zen Hsu, Kuan-Liang Lin
Erschienen in: New Frontiers in Applied Artificial Intelligence
Verlag: Springer Berlin Heidelberg
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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.