Open Access
| Issue |
ITM Web Conf.
Volume 74, 2025
International Conference on Contemporary Pervasive Computational Intelligence (ICCPCI-2024)
|
|
|---|---|---|
| Article Number | 03001 | |
| Number of page(s) | 10 | |
| Section | Engineering, Smart Systems, and Optimization | |
| DOI | https://doi.org/10.1051/itmconf/20257403001 | |
| Published online | 20 February 2025 | |
- S. R. Kuthyar, S. Roopashree, V. Rasika, S. Manjesh, R. Girimaji, R. D. Arjun, and S. Priyadarshini, “An intelligent potholedetection and alerting system using mobile sensors and deep learning,” in 2021 IEEE 18th India Council International Conference (INDICON). IEEE, 2021, pp. 1–6. [Google Scholar]
- R. Kavitha and S. Nivetha, “Pothole and object detection for an autonomous vehicle using yolo,” in 2021 5th international conference on intelligent computing and control systems (ICICCS). IEEE, 2021, pp. 1585–1589. [Google Scholar]
- J. M. Celaya-Padilla, C. E. Galvan-Tejada, F. E. L’opez Monteagudo, O. Alonso-Gonz’alez, A. Moreno-B’aez, A. Mart’ınezTorteya, J. I. Galv’an-Tejada, J. G. Arceo-Olague, H. Luna-Garc’ıa, and H. Gamboa-Rosales, “Speed bump detection using accelerometric features: A genetic algorithm approach,” Sensors, vol. 18, no. 2, p. 443, 2018. [CrossRef] [Google Scholar]
- M. M. Garcillanosa, J. M. L. Pacheco, R. E. Reyes, and J. J. P. San Juan, “Smart detection and reporting of potholes via image processing using raspberry-pi microcontroller,” in 2018 10th International Conference on Knowledge and Smart Technology (KST). IEEE, 2018, pp. 191–195. [CrossRef] [Google Scholar]
- U. Ajitha, “Smart sensing of potholes and obstacles in automotive applications using internet of things,” Int. J. Pure Appl. Math, vol. 119, no. 15, pp. 1479–1486, 2018. [Google Scholar]
- Y. Jo and S. Ryu, “Pothole detection using android smartphone with a video camera,” 2017. [Online]. Available: https://api.semanticscholar.org/CorpusID:164209617 [Google Scholar]
- D. Desai, A. Soni, D. Panchal, and S. Gajjar, “Design, development and testing of automatic pothole detection and alert system,” in 2019 IEEE 16th India council international conference (INDICON). IEEE, 2019, pp. 1–4. [Google Scholar]
- M. H. Asad, S. Khaliq, M. H. Yousaf, M. O. Ullah, A. Ahmad, “Pothole detection using deep learning: A real-time and ai-on-the-edge perspective,” Advances in Civil Engineering, vol.2022, 2022. [Google Scholar]
- A. Bochkovskiy, C.-Y. Wang, and H.-Y. M. Liao, “Yolov4: Optimal speed and accuracy of object detection,” arXiv preprint arXiv: 2004.10934, 2020. [Google Scholar]
- A. P. S. Rahman. Pothole image dataset. kaggle. [Online]. Available: https://www.kaggle.com/sachinpatel21/pothole-image-dataset/ [Google Scholar]
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