Event Title

Traffic Sign Detection and Recognition

Session

Computer Science and Communication Engineering

Description

Traffic sign detection and recognition (TSD, TSR) has become part of new technologies in order to support the development of automatic vehicles. This application is a great help for drivers taking into consideration that driving requires great care and constant attention on their part. The algorithm of traffic sign detection and recognition system (TSDR) is divided into two parts, including: detection and recognition. Deep Learning methods are the main ones to be considered for implementing TSDR. This paper presents an approach that enables the detection and recognition of traffic signs in real time regardless of driving conditions, including rainy weather, fog or other atmospheric conditions. The proposed system performs with 92% accuracy rate.

Keywords:

TSD, TSR, Recognition, Detection

Proceedings Editor

Edmond Hajrizi

ISBN

978-9951-550-47-5

Location

UBT Kampus, Lipjan

Start Date

30-10-2021 12:00 AM

End Date

30-10-2021 12:00 AM

DOI

10.33107/ubt-ic.2021.386

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Oct 30th, 12:00 AM Oct 30th, 12:00 AM

Traffic Sign Detection and Recognition

UBT Kampus, Lipjan

Traffic sign detection and recognition (TSD, TSR) has become part of new technologies in order to support the development of automatic vehicles. This application is a great help for drivers taking into consideration that driving requires great care and constant attention on their part. The algorithm of traffic sign detection and recognition system (TSDR) is divided into two parts, including: detection and recognition. Deep Learning methods are the main ones to be considered for implementing TSDR. This paper presents an approach that enables the detection and recognition of traffic signs in real time regardless of driving conditions, including rainy weather, fog or other atmospheric conditions. The proposed system performs with 92% accuracy rate.