PotholeVision: An Automated Pothole Detection and Reporting System using Computer Vision
Author:
Affiliation:
1. Computer Science, Seattle University, Seattle, WA, United States
2. College of Information Technology, United Arab Emirates University, Al Ain, United Arab Emirates
3. Computer Science, University of Denver, Denver, CO, United States
Funder
UAEU National Faculty Research Program
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3605098.3636118
Reference10 articles.
1. Pothole detection using deep learning: a real time and AI-on-the-edge perspective;Asad Muhammad Haroon;Journal of Advances in Civil Engineering,2022
2. Soft-NMS — Improving Object Detection with One Line of Code
3. A.R. Chitholian. accessed on February 21, 2023. Roboflow: Potholes Dataset. https://public.roboflow.com/object-detection/pothole..
4. Pothole Detection Based on Disparity Transformation and Road Surface Modeling
5. S Nienaber, M Booysen, and R Kroon. 2015. Detecting potholes using simple image processing techniques and real-world footage. In Proceedings of the 34th Southern African Transport Conference. 153--164.
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