A novel stereo camera based collision warning system for automotive applications

In collision warning systems for automotive applications the response time of a system is very important, since a precise response is useless if it comes too late. In this paper a fast collision warning system is presented, which uses a stereo camera as a sensor. The used algorithms allow a fast response of the system by making use of parallel processing. The parallel processing algorithms have been implemented and tested using an Nvidia Tesla C1060 GPU, programmed using the Nvidia CUDA API. The processing time comparison between the CPU based and optimized GPU based versions of the algorithms are also presented.