The Research About Vehicle Recognition of Parallel Computing Based on GPU

Vehicle recognition is the important content of intelligent transportation system, there have been many researches on vehicle recognition, and the technology of vehicle recognition based on CPU and DSP cannot meet the needs of the present. This article is about the study of Vehicle recognition and how to realize the GPU algorithm on the CUDA transplantation, make the algorithm parallel, thus speeding up the computation efficiency of vehicle recognition. This thesis is based on the Jeston TK1 development board as the experimental object, achieving high efficiency of GPU image processing.