DocumentCode :
3735912
Title :
Evolutionary QR-Based Traffic Sign Recognition System for Next-Generation Intelligent Vehicles
Author :
Ehab Salahat;Hani Saleh;Andrzej Sluzek;Mahmoud Al-Qutayri;Baker Mohammed;Mohammed Ismail
Author_Institution :
Coll. of Eng., Khalifa Univ., Abu Dhabi, United Arab Emirates
fYear :
2015
Firstpage :
1
Lastpage :
5
Abstract :
This paper introduces a dramatically novel traffic signs recognition (TSR) system that can perform traffic sign detection and tracking simultaneously. The proposed approach utilizes intensity images and the depth images, in parallel, to robustly detect and track traffic signs in real-time. Additionally, we suggest to supplement the ordinary traffic signs with the corresponding quick-response (QR) code plates that inherent the many advantages of the QR-codes, introducing the concept of QR-TSR systems.
Keywords :
"Vehicles","Roads","Image color analysis","Shape","Robustness","Real-time systems"
Publisher :
ieee
Conference_Titel :
Vehicular Technology Conference (VTC Fall), 2015 IEEE 82nd
Type :
conf
DOI :
10.1109/VTCFall.2015.7390939
Filename :
7390939
Link To Document :
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