Automatic Road Distress Monitoring for Maintenance using Artificial Intelligence

This research is conducted to develop automated road distress monitoring methods based on artificial intelligence to provide more real-time and accurate information and data for road damage maintenance and repair. More advanced approaches are developed to improve the performance of the proposed methods for practical use. Automated road distress identification and extraction methods are developed based on artificial neural networks to obtain information of road distress. Automatic road distress data generation methods are developed based on deep learning approaches to create more data. A novel automatic two-step monitoring method is first proposed to combine the advantages of the above approaches.