The fish-eye camera has become an indispensable sensor in autonomous driving. Due to the unique projection principle of the fish-eye camera, it provides a large field of view (FoV). Because of this special feature, the fish-eye camera has abundant applications in environmental perception and autonomous driving. However, many challenges still exist in the practical application of fish-eye cameras. In this chapter, typical fish-eye datasets, including real data and generated virtual data, are introduced. Then, the projection principle of the fish-eye camera and four classical fish-eye image representation models are given. By sorting and summarizing relevant research, we show various applications of fish-eye cameras in environmental perception, including semantic understanding and target detection. These works have designed various strategies to take advantage of fish-eye cameras and prevent image distortions, showing the broad application prospects of fish-eye cameras. The development trend of fish-eye cameras in autonomous driving is discussed.


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    Title :

    Environmental Perception Using Fish-Eye Cameras for Autonomous Driving


    Additional title:

    Advs Comp. Vision, Pattern Recognition


    Contributors:


    Publication date :

    2023-10-07


    Size :

    25 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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