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Deep Learning-based Pothole Detection System  

Hwang, Sung-jin (Dept. of Software, Sangmyung University)
Hong, Seok-woo (Dept. of Software, Sangmyung University)
Yoon, Jong-seo (Dept. of Software, Sangmyung University)
Park, Heemin (Dept. of Software, Sangmyung University)
Kim, Hyun-chul (Dept. of Software, Sangmyung University)
Publication Information
Journal of the Semiconductor & Display Technology / v.20, no.1, 2021 , pp. 88-93 More about this Journal
Abstract
The automotive industry is developing day by day. Among them, it is very important to prevent accidents while driving. However, despite the importance of developing automobile industry technology, accidents due to road defects increase every year, especially in the rainy season. To this end, we proposed a road defect detection system for road management by converging deep learning and raspberry pi, which show various possibilities. In this paper, we developed a system that visually displays through a map after analyzing the images captured by the Raspberry Pi and the route GPS. The deep learning model trained for this system achieved 96% accuracy. Through this system, it is expected to manage road defects efficiently at a low cost.
Keywords
Deep Learning; Machine Learning; Object Detection; Pothole Detection; Road Defect Detection;
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  • Reference
1 IWET News. [online]. Available: http://www.iwet.co.kr/news/articleView.html?idxno=46186.
2 Raspberry Pi. [online]. Available: https://www.raspberrypi.org/.
3 Redmon, J., and Farhadi, A., "Yolov3: An incremental improvement," arXiv preprint arXiv:1804.02767, 2018.
4 Zhang, L, Yang, F., Zhang, Y., and Zhu, Y., "Road crack detection using deep convolutional neural network", IEEE International Conference on Image Processing, 2016.
5 Picamera. [online]. Available: https://picamera.readthedocs.io/en/release-1.13/.
6 OpenCV. [online]. Available: https://opencv.org/.
7 Folium. [online]. Available: https://python-visualization.github.io/folium/.
8 Selenium. [online]. Available: https://www.selenium.dev/.
9 AlexeyAB Yolo_mark. [online]. Available: https://github.com/AlexeyAB/Yolo_mark.
10 PyQt. [online]. Available: http://www.riverbankcomputing.com/software/pyqt/.
11 GoogleAPI. [online]. Available: https://support.google.com/webmasters/answer/1061943?hl=ko.