An Efficient Extraction of On-Road Object and Lane Information Using Representation Method

作者: Jaehyoung Yu , Youngjoon Han , Hernsoo Hahn

DOI: 10.1109/SITIS.2008.19

关键词: Object detectionAdvanced driver assistance systemsFeature extractionChain codeArtificial intelligenceCanny edge detectorEdge detectionRobustness (computer science)Vanishing pointComputer scienceComputer vision

摘要: Robust and reliable lane detection is an important issue for driver assistance systems self-guided systems. Input images acquired from a camera on moving vehicle need to be processed vehicular traffic detection. We propose algorithm that uses chain code detector detecting lanes detects vehicles using the horizontal lines formed by at edge of images. In first step, vanishing point obtained both sides lane, which are analysis canny operator. second driveways decided combining information vehicle. define properties limiting conditions The robustness proposed has been verified experimental results complex background

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