OpenCV based road sign recognition on Zynq

Author

Russell, Matthew ; Fischaber, Scott

Author_Institution

Analytics Engines, Belfast, UK

fYear

2013

fDate

29-31 July 2013

Firstpage

596

Lastpage

601

Abstract

Road sign recognition is a key component in autonomous vehicles and also has applications in driver assistance systems and road sign maintenance. Here an algorithm is presented using the Xilinx Zynq-7020 chip on a Zedboard to scan 1920×1080 images taken by an ON Semiconductor VITA-2000 sensor attached via the FMC slot. The PL section of the Zynq is used to perform essential image pre-processing functions and color based filtering of the image. Software classifies the shapes in the filtered image, and OpenCV´s template matching function is used to identify the signs from a database of UK road signs. The system was designed in six weeks, and can process one frame in approximately 5 seconds. This is a promising start for a real-time System on Chip based approach to the problem of road sign recognition and also for using the Zynq platform for rapid deployment of these types of applications.

Keywords

filtering theory; image classification; image colour analysis; public domain software; road vehicles; system-on-chip; traffic engineering computing; FMC slot; OpenCV-based road sign recognition; UK road sign database; Xilinx Zynq-7020 chip; Zedboard; Zynq PL section; autonomous vehicles; color-based image filtering; driver assistance systems; filtered image shape classification; image preprocessing functions; image scanning; on-semiconductor VITA-2000 sensor; real-time system-on-chip-based approach; road sign identification; road sign maintenance; template matching function; Field programmable gate arrays; Hardware; Image color analysis; Image segmentation; Roads; Shape; Software;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Informatics (INDIN), 2013 11th IEEE International Conference on

Conference_Location

Bochum

Type

conf

DOI

10.1109/INDIN.2013.6622951

Filename

6622951