Pothole Detection Approach Based on Deep Learning Algorithms
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-8669-7_53
Reference19 articles.
1. Dunna, S., Nair, B.B., Panda, M.K.: A deep learning based system for fast detection of obstacles using rear-view camera under parking scenarios. In: 2021 IEEE International Power and Renewable Energy Conference (IPRECON), pp. 1–7. IEEE (2021)
2. Dharneeshkar, J., Aniruthan, S.A., Karthika, R., Parameswaran, L.: Deep learning based detection of potholes in Indian roads using YOLO. In: 2020 International Conference on Inventive Computation Technologies (ICICT), pp. 381–385 (2020). https://doi.org/10.1109/ICICT48043.2020.9112424
3. Sayyad, S., Parmar, S., Jadhav, M., Khadayate, K.: Real-time garbage, potholes and manholes monitoring system using deep learning techniques. In: 2020 4th International Conference on Trends in Electronics and Informatics (ICOEI) (48184), pp. 826–831 (2020). https://doi.org/10.1109/ICOEI48184.2020.9143030
4. Varona, B., Monteserin, A., Teyseyre, A.: A deep learning approach to automatic road surface monitoring and pothole detection. Pers Ubiquit Comput. 24, 519–534 (2020). https://doi.org/10.1007/s00779-019-01234-z
5. Carneiro, T., Medeiros Da NóBrega, R.V., Nepomuceno, T., Bian, G., De Albuquerque, V.H.C., Filho, P.P.R.: Performance analysis of google colaboratory as a tool for accelerating deep learning applications. IEEE Access 6, 61677–61685 (2018). https://doi.org/10.1109/ACCESS.2018.2874767
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