REVIEW ON TRAFFIC SIGN DETECTION AND RECOGNITION USING DEEP LEARNING UNDER CHALLENGING WEATHER CONDITIONS

Registration ID: IJNRD_195275

Published ID: IJNRD2305397

DOI: http://doi.one/10.1729/Journal.34242

Stephen Mascarenhas , Vaibhav Kolpe , Pratik Shinde , Ankita Tapase , Dr. Aparna Pande

Deep learning, Convolutional Neural Network, Challenging Conditions, Traffic Sign Detection, Traffic Sign Recognition, Enhancement Block, Challenge Classifier.

Traffic sign detection and recognition is an emerging area of research that is gaining popularity with the release of Deep Learning and Computer Vision in modern automobiles. With changing weather conditions and environmental hazards, it is difficult for modern automobiles to identify and recognize road signs. TSDR problem in different CCs (Haze, Snow, Dirty Lens, Lens Blur and Rain) is studied in this paper, with an emphasis on the resulting performance degradation, & suggest a prior enhancement focused TSDR architecture built on Convolutional Neural Networks (CNN). The 4 modules which give most accurate results in detecting and recognizing traffic signs (Challenge Classifier, Enhancement Block, Sign Localizer and Sign Classifier) are flexible, also modifiable on the basis of actual weather conditions. The CURE-TSD dataset, which consists of traffic recordings shot using various CCs, is used to assess the effectiveness of mentioned methods. On the CURE-TSD Dataset, experimental results show that VGG-16 achieves a total accuracy of 99.98%.

Published Paper   E-Certificate

Stephen Mascarenhas, Vaibhav Kolpe, Pratik Shinde, Ankita Tapase, & Dr. Aparna Pande (May-2023). REVIEW ON TRAFFIC SIGN DETECTION AND RECOGNITION USING DEEP LEARNING UNDER CHALLENGING WEATHER CONDITIONS. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(5), d755-d760. http://doi.one/10.1729/Journal.34242

Volume 8 Issue 5, May-2023

Pages : d755-d760

Paper Reg. ID: IJNRD_195275

Published Paper Id: IJNRD2305397

Downloads: 000121985

Research Area: Engineering

Country: Pune, Maharashtra, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2305397.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305397

Crossref DOI: http://doi.one/10.1729/Journal.34242

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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