도로포장상태평가를 위한 스테레오 카메라 기반의 도로노면 데이터 생성 및 활용에 관한 연구

This study generated road surface data based on stereo cameras and analyzed it to evaluate pavement conditions. Stereo videos capturing the road surface at 10 frames per second were obtained, and a mapping program was used to create point clouds, 3D meshes, and orthophotos of the road surface. From this data, key variables for assessing pavement conditions, such as cracks, rutting, and the IRI(International Roughness Index), were analyzed to obtain quantitative information for each variable. The pavement condition was evaluated using the SPI(Seoul Pavement Index) method, and the results were categorized according to maintenance grade standards. The study revealed that the selected road segment had an average pavement condition index of 7.08, indicating that the pavement condition was good, with some localized damage but generally well-maintained according to maintenance standards. The individual defect indices for cracks, rutting, and roughness were compared with measured crack data and results from the MMS(Mobile Mapping System), showing differences of 0.75%, 2.56 mm, and 1.04 m/km, respectively. The differences in these individual defect indices affected the pavement condition index, with the index derived from MMS data being 7.99. This study demonstrates the potential of stereo camera-based pavement condition assessment and is expected to serve as foundational data for future road pavement maintenance and management.