Deep Learning-Based Real-Time Vehicle Detection and Collision Prediction Using YOLOv4 with Distance-Based Alert System

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{210812,
        author = {Divya Ahirwar and Mr. Rajneesh Pachouri and Mr. Anurag Jain and Mrs. Monali Sahoo and Ms. Sadhvi},
        title = {Deep Learning-Based Real-Time Vehicle Detection and Collision Prediction Using YOLOv4 with Distance-Based Alert System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {6},
        pages = {2120-2127},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=210812},
        abstract = {},
        keywords = {Deep Learning, YOLOv4, Vehicle Detection, Omnidirectional Collision Prediction, Dynamic Semantic Mapping, Distance Measurement, ADAS, Intelligent Transportation Systems.},
        month = {November},
        }

Cite This Article

Ahirwar, D., & Pachouri, M. R., & Jain, M. A., & Sahoo, M. M., & Sadhvi, M. (2026). Deep Learning-Based Real-Time Vehicle Detection and Collision Prediction Using YOLOv4 with Distance-Based Alert System. International Journal of Innovative Research in Technology (IJIRT), 13(6), 2120–2127.

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