2026-10-14T18:07:11Z https://www.scidb.cn/oai

10.57760/sciencedb.28491 2025-09-25T15:49:53Z

2025-09-25 Pavement Surface Distress Point Cloud Dataset: Cracks, Potholes, and Upheavals doi:10.57760/sciencedb.28491 en This study constructed a point cloud dataset focusing on pavement distresses such as cracks, potholes, and upheavals, collected from national and provincial highways. The data were acquired onsite using a line-structured light sensor combined with an encoder, resulting in a total of 533 point cloud samples of various distresses. After preprocessing, the collected data were annotated using CloudCompare, a professional point cloud processing software. To ensure balanced distribution and enhance the generalization capability of the network model during training, the dataset was divided into training and validation sets in a ratio of 8:2 according to the number of point clouds in each category. These subsets are designated as Area_1 and Area_2, respectively. The dataset is formatted following the S3DIS standard, with text files stored in .txt format.The text contains six columns of data, with the first three columns representing three-dimensional coordinates and the last three columns representing corresponding normal vector coordinates. 3D cloud; S3DIS; pavement surface distress Wang Wenlong PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset Science Data Bank