A Framework for Pothole Detection via the AI-Blockchain Integration

Author:

Mubarak Auwalu Saleh,Ameen Zubaida Said,Tonga Paul,Altrjman Chadi,Al-Turjman Fadi

Publisher

Springer International Publishing

Reference43 articles.

1. She, X., Hongwei, Z., Wang, Z., Yan, J.: Feasibility study of asphalt pavement pothole properties measurement using 3D line laser technology. Int. J. Transp. Sci. Technol. 10(1), 83–92 (2021). https://doi.org/10.1016/j.ijtst.2020.07.004

2. Koch, C., Georgieva, K., Kasireddy, V., Akinci, B., Fieguth, P.: A review on computer vision-based defect detection and condition assessment of concrete and asphalt civil infrastructure. Adv. Eng. Inf. 29(2), 196–210 (2015). https://doi.org/10.1016/j.aei.2015.01.008

3. Federal Highway Administration (FHWA).Variability of pavement distress data from manual surveys, Maint. Manag, no. 202, pp. 0–3 (2000)

4. Tamrale, G.S., et al.: Analysis of existing road surface on the basis. Glob. J. Res. Eng. E Civ. Struct. Eng. 19(3), 17–22 (2019)

5. Shaghouri, A.A., Alkhatib, R., Berjaoui, S.: Real-Time Pothole Detection Using Deep Learning, pp. 1–10 (2020)

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