Detection of lane and objects is one of the most active areas of research in computer and robotic vision technology for its application in a self-driving car. The autonomous or advanced driver assistance system of a car has to detect the lane and objects from video sequences to make appropriate decisions while moving on the road. Conventionally, two camera-based stereo vision systems may be used to identify the lane and obstacles from video sequences. In this paper, we present a novel technique of lane and obstacle detection by using video/image sequences captured by a stereo vision system based on a single low cost, low-resolution camera. The proposed system utilizes a technique for generating a disparity map in one camera stereo imaging system, which is effectively used to identify the lane and obstacles or other vehicles from the captured real-time video sequences.


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    Title :

    Lane and Obstacle Detection System Based on Single Camera-Based Stereo Vision System


    Additional title:

    Algorithms for Intelligent Systems


    Contributors:


    Publication date :

    2021-04-25


    Size :

    8 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English





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