Abstract Camera-based driver assistance went from pure research level activities in the early 1990s to standard equipment products in vehicles nowadays. This change is due to both technological advances and algorithmic developments. Especially, stereo vision plays a vital role in advanced driver assistance systems. In this chapter, we lay the foundations of stereo vision, show the specific needs for driver assistance, and build up a processing chain combining motion estimation and stereo information. The combination is called 6D-Vision and allows velocity estimation on a pixel level. For efficiency reasons, an intermediate stereo representation called Stixels is introduced from which an object representation is derived. The final section describes future trends in stereo vision such as a combination with machine learning approaches.


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    Title :

    Stereovision for ADAS


    Contributors:


    Edition :

    2016


    Publication date :

    2015-12-08


    Size :

    30 pages




    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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