In recent years, the Advanced Driver Assistance System (ADAS) system has received increasing attention. In the ADAS field, front vehicle detection is a popular technology. With this technology, we can alert drivers to avoid unnecessary collisions and accidents. Nighttime vehicle detection is indispensable. The spirit and attention of people at night will fall, and it will make the warning system more important. How to accurately detect vehicles in the night has become an important issue. At night, the headlights have a stronger feature than the vehicle contours, and have a better effect for vehicle detection. This paper uses a single camera and uses the lights as a method of night vehicle detection. And use RCCC camera to enhance image quality and improve the success rate of detection.


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    Title :

    Long-Distance Vehicle Detection Algorithm at Night for Driving Assistance


    Contributors:


    Publication date :

    2018-09-01


    Size :

    6944041 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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