INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
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%.
"REVIEW ON TRAFFIC SIGN DETECTION AND RECOGNITION USING DEEP LEARNING UNDER CHALLENGING WEATHER CONDITIONS", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.d755-d760, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305397.pdf
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2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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