Hardware/Software Co-Design of a Traffic Sign Recognition System Using Zynq FPGAs

Electronics

Yan Han²  Kushal Virupakshappa²  Esdras Vitor Silva Pinto²  Erdal Oruklu¹ 

[1] Department of Electrical and Computer Engineering, Illinois Institute of Technology, 3301 South Dearborn Street, Chicago, IL 60616, USA;

关键词: traffic sign recognition;    FPGA;    SURF detector;    hardware/software co-design;   

DOI  :  10.3390/electronics4041062

来源: mdpi

【 摘 要 】

Traffic sign recognition (TSR), taken as an important component of an intelligent vehicle system, has been an emerging research topic in recent years. In this paper, a traffic sign detection system based on color segmentation, speeded-up robust features (SURF) detection and the k-nearest neighbor classifier is introduced. The proposed system benefits from the SURF detection algorithm, which achieves invariance to rotated, skewed and occluded signs. In addition to the accuracy and robustness issues, a TSR system should target a real-time implementation on an embedded system. Therefore, a hardware/software co-design architecture for a Zynq-7000 FPGA is presented as a major objective of this work. The sign detection operations are accelerated by programmable hardware logic that searches the potential candidates for sign classification. Sign recognition and classification uses a feature extraction and matching algorithm, which is implemented as a software component that runs on the embedded ARM CPU.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.