This contribution presents a road course estimation system during night which covers distances up to 120m in rural environment. This is essential for upcoming warning systems to decide, whether a detected object is on the road and thus of immediate importance. In order to realize a robust road course detection system we present a fusion system that combines the information provided by a prototypical imaging radar system, a digital map and a night vision camera sensor. The digital map is used to calculate the shape of the road, an ego motion estimator determines heading and position of the vehicle and a particle filter combines features from the camera and the radar sensor in order to match the road shape with the road visible in the image.


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    Title :

    Road course estimation in a night vision application using a digital map, a camera sensor and a prototypical imaging radar system


    Contributors:


    Publication date :

    2008-06-01


    Size :

    377292 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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