Survey on Deep Learning Integration in Autonomous Driving: Traffic Sign Detection and Lane Change Prediction

  • Unique Paper ID: 170634
  • PageNo: 828-833
  • Abstract:
  • Autonomous driving systems rely heavily on deep learning technologies, particularly in tasks such as traffic sign detection and lane change prediction. This section provides an overview of these systems and their importance in autonomous driving.

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{170634,
        author = {Manas Manekar and Pushkar Mhatre and Atharav Ghadge and Palak Pandey and Darshana Bhamare and Milind Ankleshwar},
        title = {Survey on Deep Learning Integration in  Autonomous Driving: Traffic Sign  Detection and Lane Change Prediction},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {7},
        pages = {828-833},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=170634},
        abstract = {Autonomous driving systems rely heavily on deep learning technologies, particularly in tasks such as traffic sign detection and lane change prediction. This section provides an overview of these systems and their importance in autonomous driving.},
        keywords = {},
        month = {December},
        }

Cite This Article

Manekar, M., & Mhatre, P., & Ghadge, A., & Pandey, P., & Bhamare, D., & Ankleshwar, M. (2024). Survey on Deep Learning Integration in Autonomous Driving: Traffic Sign Detection and Lane Change Prediction. International Journal of Innovative Research in Technology (IJIRT), 11(7), 828–833.

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