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.
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机译：在汽车应用的碰撞警告系统中，系统的响应时间非常重要，因为如果它为时已晚，则确切的响应是无用的。 本文提出了一种快速碰撞警告系统，它使用立体相机作为传感器。 使用的算法允许通过利用并行处理来快速响应系统。 使用NVIDIA TESLA C1060 GPU来实现并测试并行处理算法，使用NVIDIA CUDA API编程。 还提出了CPU与优化基于GPU的算法版本的处理时间比较。
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