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Original Article
Smart Pothole Detection and Adaptive Vehicle Response System
Likitha J R1
Anusha M N2
Manu M3
Manushree H P4
Dr. Prabhavathi K5
1 2 3 4 5 Department of Electronics and Communication Engineering, BGS Institute of Technology, Adichunchanagiri University, B. G. Nagara Karnataka, India.
Published Online: May-June 2026
Pages: 267-274
Cite this article
↗ https://www.doi.org/10.59256/ijire.20260703027
References
1. Rajeshwari, S., Kavitha, R., and Bhuvaneswari, R., “Automatic Pothole Detection and Warning System Using Machine
Learning,” IEEE Access, vol. 9, pp. 112345–112354, 2021.
2. Kumar, A., and Verma, P., “IoT-Based Pothole Detection and Reporting System,” International Conference on Smart Systems and
IoT, Springer, 2020.
3. Sharma, B., Gupta, A., and Mehta, V., “Smart Vehicle Control for Accident Prevention and Pothole Detection,” Procedia Computer
Science, vol. 152, pp. 395–402, Elsevier, 2019.
4. Patel, R., and Joshi, K., “Adaptive Vehicle Response System for Road Safety Using IoT,” International Journal of Engineering
Research & Technology (IJERT), vol. 11, no. 5, 2022.
5. Mohammed, S., and Al-Khateeb, H., “Machine Learning-Based Pothole Detection Using Smartphone Sensors,” Journal of
Transportation Engineering, vol. 146, no. 8, pp. 04020064, 2020.
6. Varghese, A., and Jose, S., “Low-Cost IoT Enabled Pothole Detection and Notification System,” Advances in Intelligent Systems and
Computing, vol. 1242, pp. 315–324, Springer, 2021.
7. H. Zhang, Y. Wang, and X. Wang, “Pothole Detection Using Deep Convolutional Neural Networks with Transfer Learning,”
Proceedings of IEEE Intelligent Vehicles Symposium (IV), pp. 268–274, 2018.
8. N. Ma, “Computer Vision for Road Imaging and Pothole Detection,” Transportation and Sustainable Energy Review, 2022.
9. F. Özoglu, A. S. Çelik, and M. G. Adanur, “Detection of Road Potholes by Applying Convolutional Neural Networks and Smartphone
Sensors,” Sensors, vol. 23, no. 22, 2023.
10. R. Ren, H. Cai, and J. Jiang, “Deep-Learning-Based Pothole Detection Using UAV and Street Images,” IEEE Access, 2020.
Learning,” IEEE Access, vol. 9, pp. 112345–112354, 2021.
2. Kumar, A., and Verma, P., “IoT-Based Pothole Detection and Reporting System,” International Conference on Smart Systems and
IoT, Springer, 2020.
3. Sharma, B., Gupta, A., and Mehta, V., “Smart Vehicle Control for Accident Prevention and Pothole Detection,” Procedia Computer
Science, vol. 152, pp. 395–402, Elsevier, 2019.
4. Patel, R., and Joshi, K., “Adaptive Vehicle Response System for Road Safety Using IoT,” International Journal of Engineering
Research & Technology (IJERT), vol. 11, no. 5, 2022.
5. Mohammed, S., and Al-Khateeb, H., “Machine Learning-Based Pothole Detection Using Smartphone Sensors,” Journal of
Transportation Engineering, vol. 146, no. 8, pp. 04020064, 2020.
6. Varghese, A., and Jose, S., “Low-Cost IoT Enabled Pothole Detection and Notification System,” Advances in Intelligent Systems and
Computing, vol. 1242, pp. 315–324, Springer, 2021.
7. H. Zhang, Y. Wang, and X. Wang, “Pothole Detection Using Deep Convolutional Neural Networks with Transfer Learning,”
Proceedings of IEEE Intelligent Vehicles Symposium (IV), pp. 268–274, 2018.
8. N. Ma, “Computer Vision for Road Imaging and Pothole Detection,” Transportation and Sustainable Energy Review, 2022.
9. F. Özoglu, A. S. Çelik, and M. G. Adanur, “Detection of Road Potholes by Applying Convolutional Neural Networks and Smartphone
Sensors,” Sensors, vol. 23, no. 22, 2023.
10. R. Ren, H. Cai, and J. Jiang, “Deep-Learning-Based Pothole Detection Using UAV and Street Images,” IEEE Access, 2020.
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