Author(s)

Shuhe Wang, Pan Zhang, Zhitao Dai, Yiwen Wang, Ran Tao, Shu Sun

Beijing University of Posts and Telecommunications, School of Computer Science.

This thesis will present the research and practice of traffic lights and traffic signs recognition system based on multicore of FPGA. This system consists of four parts as following: the collection of dynamic images, the preprocessing of gray value, the detection of the edges and the patterning and the judgment of the pattern matching. The multiple cores system is consist of three cores. Each core parallels processes the incoming images from camera collection in terms of different colors and graphic elements. The image data read in from the camera works as the sharing data of the three cores.

Intelligent Transportation; Multicore; Image Processing; SOPC

Wang, S. , Zhang, P. , Dai, Z. , Wang, Y. , Tao, R. and Sun, S. (2013) Research and Practice of Traffic Lights and Traffic Signs Recognition System Based on Multicore of FPGA. Communications and Network, 5, 61-64. doi: 10.4236/cn.2013.51B014.