Real-time automated road damages inspection using deep convolutional neural networks

• Main Authors: Shahrul Munir, Mohamad Faiq Mohd, Bustamam, Muhammad Amiruddin, Ismail, Amelia Ritahani, Md Yusof, Norlia, Amir Hussin, Amir 'Aatieff
• 格式: Article
• 语言: English
• 出版: IIUM Press 2023
• 主题: QA75 Electronic computers. Computer science
• 在线阅读: http://irep.iium.edu.my/105793/7/105793_Real-Time%20Automated%20Road%20Damages.pdf; http://irep.iium.edu.my/105793/; https://journals.iium.edu.my/kict/index.php/IJPCC/article/view/372/224

This study focused on developing a real time automated road damage inspection using deep neural networks. The performance of the build image detection model is evaluated to get the best overall result. Thousands of images from selected dataset are trained using You Only Look Once (YOLO) v4 algorithm...