REAL-TIME TRAFFIC SIGN RECOGNITION WITH RECONFIGURABLE HARDWARE
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This work describes an implementation of a system that recognizes tra c signs within an image or video frame. In addition it covers a brief history of automotive technology and the safety motivations for the technology presented here. An algo- rithm is presented that takes RGB image data, extracts relevant pixels, lters the image, labels prospective tra c signs and evaluates them against template tra c sign images. Furthermore a system is described that uses a Virtex 5 Xilinx FPGA and the EDK tool kit to create an embedded processor and a hardware IP periph- eral that together implement the algorithm. This implementation is shown to have positive results both in terms of timing performance and accuracy.