Road Surface Disease Recognition Algorithm Development and Data Processing

路面病害识别算法开发与数据处理

50000

This project aims to develop an image-recognition-based algorithm and data-processing workflow for road surface disease detection and evaluation. The technical objective is to identify common pavement defects, including cracks, potholes and rutting, and to combine detection data with historical maintenance records for real-time road-condition assessment, data processing and analytical evaluation. The project will include the development of core algorithm modules, historical inspection-data entry, annual inspection-data collection and evaluation, and comparative analysis of road segments across time and location. The expected outputs include road-disease recognition algorithms, processed datasets, analytical reports, technical documents, evaluation models and relevant software/technical deliverables. The project will support more accurate road-condition monitoring, pavement-performance assessment, preventive maintenance planning and evidence-based infrastructure management.