학술논문
A Deep Learning-Based Approach for Road Pothole Detection in Timor Leste
Document Type
Conference
Source
2018 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI) Service Operations and Logistics, and Informatics (SOLI), 2018 IEEE International Conference on. :279-284 Jul, 2018
Subject
Language
Abstract
This research proposes a low-cost solution for detecting road potholes image by using convolutional neural network (CNN). Our model is trained entirely on the image which collected from several different places and has variation such as in wet, dry and shady conditions. The experiment using the 500 testing images showed that our model can achieve (99.80 %) of Accuracy, Precision (100%), Recall (99.60%), and F-Measure (99.60%) simultaneously.