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：在用于汽车应用的碰撞预警系统中，系统的响应时间非常重要，因为如果为时已晚，那么精确的响应就毫无用处。本文提出了一种快速碰撞预警系统，该系统使用立体摄像机作为传感器。通过使用并行处理，所使用的算法可以使系统快速响应。并行处理算法已通过使用Nvidia CUDA API编程的Nvidia Tesla C1060 GPU进行了实施和测试。还介绍了基于CPU的版本和基于优化的GPU版本的算法之间的处理时间比较。
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