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S. Yehu, O. UMIT and R. KEITH, “A robust video based traffic light detection algorithm for intelligent vehicles,” IEEE Intelligent Vehicles Symposium, Washington, DC: IEEE Press, 2009, pp. 521-526.

has been cited by the following article:

• TITLE: Research and Practice of Traffic Lights and Traffic Signs Recognition System Based on Multicore of FPGA

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

  KEYWORDS: Intelligent Transportation; Multicore; Image Processing; SOPC

  JOURNAL NAME: Communications and Network, Vol.5 No.1B, November 6, 2013

  ABSTRACT: 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.