Embedded Real-Time System for Traffic Sign Recognition on ARM Processor

Hassene Faiedh, Wajdi Farhat, Sabrine Hamdi and Chokri Souani
Additional contact information
Hassene Faiedh: Higher Institute of Applied Sciences and Technology. Sousse University, Sousse, Tunisia
Wajdi Farhat: Higher Institute of Applied Sciences and Technology. Sousse University, Sousse, Tunisia
Sabrine Hamdi: National School of Engineers, Sousse University, Sousse, Tunisia
Chokri Souani: Higher Institute of Applied Sciences and Technology, Sousse University, Sousse, Tunisia

International Journal of Applied Metaheuristic Computing (IJAMC), 2020, vol. 11, issue 2, 77-98

Abstract: This article proposes the design of a novel hardware embedded system used for automatic real-time road sign recognition. The algorithm used was implemented in two main steps. The first step, which detects the road signs, is performed by the maximally stable extremal region method on HSV color space. The second step enables the recognition of the detected signs by using the oriented fast and rotated brief features method. The novelty of the embedded hardware system, on an ARM processor, leads to a real-time implementation of the ADAS applications. The proposed system was tested on the Belgium Traffic Sign Detection and Recognition Benchmark and on the German Traffic Signs Datasets. The proposed approach attained a high detection and recognition rate with real-world situations. The achieved results are acceptable when compared to state-of-the-art systems.

Date: 2020
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 018/IJAMC.2020040104 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jamc00:v:11:y:2020:i:2:p:77-98

Access Statistics for this article

International Journal of Applied Metaheuristic Computing (IJAMC) is currently edited by Peng-Yeng Yin

More articles in International Journal of Applied Metaheuristic Computing (IJAMC) from IGI Global
Bibliographic data for series maintained by Journal Editor ().