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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: March 2026
Volume 11 | Issue 3
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21604
Article Published : 8531
Total Authors : 22438
Total Reviewer : 805
Total Countries : 159
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| Paper Title: | Real-Time Vehicle Detection and Speed Estimation Using Deep Learning |
| Authors Name: | TIRUMALASETTY HITESH , THUMPALLI VASU , Dr. R. KRISHNA PRASANNA |
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IJRTI_201252
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| Published Paper Id: | IJRTI2503070 |
| Published In: | Volume 10 Issue 3, March-2025 |
| DOI: | |
| Abstract: | Real-time vehicle classification and speed estimation are core components of modern traffic management and autonomous driving technologies. This paper proposes a high-performance framework that uses enhanced super-resolution GAN (ESRGAN) integrated with YOLOv8 in MATLAB for high-speed and high-precision vehicle classification and speed estimation. ESRGAN enhances image resolution and quality to address challenges posed by low-resolution inputs, varying lighting conditions, and occlusions. State-of-the-art techniques such as YOLOv8 integration, transfer learning, and data augmentation further improve the system's adaptability to diverse vehicle types. By combining vehicle tracking with advanced motion analysis, the framework enables accurate speed estimation in real time. Optimization of inference algorithms and hardware acceleration ensures real-time processing, making the system suitable for dynamic traffic scenarios. This integration supports traffic systems in tasks such as accurate vehicle identification, categorization, speed monitoring, and tracking, contributing to improved traffic flow and safety. Additionally, it serves real-time decision-making activities and significantly advances the development of autonomous vehicles. Comprehensive tests on real-world datasets validate the system's applicability and robustness across different traffic environments |
| Keywords: | Real-time vehicle classification and Speed estimation of the vehicle |
| Cite Article: | "Real-Time Vehicle Detection and Speed Estimation Using Deep Learning", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 3, page no.a532-a538, March-2025, Available :http://www.ijrti.org/papers/IJRTI2503070.pdf |
| Downloads: | 000745 |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 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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Published Paper ID: IJRTI2503070
Registration ID:201252
Published In: Volume 10 Issue 3, March-2025
DOI (Digital Object Identifier):
Page No: a532-a538 Country: Bapatla, Andhra Pradesh, India Research Area: Electronics & Communication Engg. Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2503070 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2503070 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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