Real-time embedded system for traffic sign recognition based on ZedBoard

被引：0
|
作者：
Wajdi Farhat
Hassene Faiedh
Chokri Souani
Kamel Besbes
机构：
[1] Monastir University,Laboratory of Microelectronics and Instrumentation
[2] Sousse University,National School of Engineers
[3] Sousse University,Higher Institute of Applied Sciences and Technology
[4] Sousse University,Center for Research on Microelectronics and Nanotechnology of Sousse
来源：
Journal of Real-Time Image Processing | 2019年 / 16卷
关键词：
ADAS; Detection; FPGA; Image processing; Real-time; Recognition; Video;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper presents a design methodology of a real-time embedded system that processes the detection and recognition of road signs while the vehicle is moving. An efficient algorithm was proposed, which operates in two processing steps: the detection and the recognition. Regions of interest were extracted by using the Maximally Stable Extremal Regions Method. For the recognition phase, Oriented FAST and Rotated BRIEF features were used. A hardware system based on the Xilinx Zynq platform was developed. The designed system can achieve real-time video processing while assuring constraints and a high-level accuracy in terms of detection and recognition rates.
引用
收藏
页码：1813 / 1823
页数：10
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