Our aim is to prevent rear-end collision of the vehicle, and we propose a new method for a front-vehicle observation system using sequence of road images. In this research, we have developed an in-vehicle system that can be applied to a software-based rear-end collision with low computing power. First, we calculate projective transformation (a vehicle’s front image is changed into the images seen from right above) of the vehicle’s front image acquired by a single camera placed on the dashboard of our vehicle. Next, the difference of two projective transformation images is calculated. Finally, we calculate the degree of crashing risks depending on the distance to the front vehicle and the speed of our vehicle, and a warning is given to the driver. This system mounted on a vehicle has been tested on expressways. As a result, the effectiveness of our method has been verified.


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    Title :

    Vehicle front scene watching from the sequence of road images


    Contributors:

    Conference:

    Applications of Digital Image Processing XXV ; 2002 ; Seattle,WA,United States


    Published in:

    Publication date :

    2002-11-21





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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