This chapter provides a brief introduction to academic aspects of computer vision in vehicles. It briefly summarizes basic notation and definitions used in computer vision. The chapter discusses a few visual tasks as of relevance for vehicle control and environment understanding. Computer vision designs solutions for understanding the real world by using cameras. Computer vision solutions are today in use in manned vehicles for improved safety or comfort, in autonomous vehicles (e.g., robots) for supporting motion or action control, and also for misusing UAVs for killing people remotely. Traffic safety is a dominant application area for computer vision in vehicles. An image feature is finally a location, given as a data vector, but possibly also in other formats such as a graph. Segmentation for vehicle technology aims at semantic segmentation with temporal consistency along a recorded video sequence.


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    Title :

    Computer Vision in Vehicles


    Contributors:


    Publication date :

    2017-02-28


    Size :

    23 pages




    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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