Student Work

Stoplight Detection and Image Processing with FPGA

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This paper focuses on real-time stoplight detection using a Color Filtration algorithm in partnership with a Blob Detection algorithm and Histogram Analysis on a FPGA for use in a vehicle. In order to reduce the computational complexity of this process, the Color Filtration was to be accomplished by an FPGA while the more complicated Blob Detection and Histogram Analysis was to be accomplished on a microprocessor. The architecture is proposed on a Xilinx Zynq-7000 All Programmable SoC ZC702. A system on chip device was selected in order to maximize performance and allow easy transition from the FPGA and the microprocessor on the device. This implementation accurately detects stoplights and is able to alert the user through both audio and visual peripherals.

  • This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.
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Identifier
  • E-project-032015-170742
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Year
  • 2015
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Date created
  • 2015-03-20
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Last modified
  • 2023-01-20

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