OpenCV based road sign recognition on Zynq
OpenCV based road sign recognition on Zynq
复制标题
Zynq 上基于 OpenCV 的道路标志识别
DOI：
10.1109/indin.2013.6622951
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发表时间：
2013
期刊：
影响因子：
--
通讯作者：
S. Fischaber
中科院分区：
文献类型：
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作者：
M. Russell;S. Fischaber
道路标志识别是自动驾驶汽车的关键组成部分，在驾驶员辅助系统和路标维护中也有应用。 -2000通过FMC插槽附加的传感器。确定英国路标数据库的标志。识别以及使用ZYNQ平台快速部署这些类型的应用程序。
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.