铺面激光点云数据集

铺面激光点云数据主要面向路面湿滑状态下汽车制动安全性风险识别方法，考虑三种沥青混合料组成的路表结构，分别为沥青玛蹄脂混凝土（SMA-13）、沥青混凝土（AC-13）以及开级配抗滑磨耗层沥青（OGFC-13）。分别成型了三种沥青混合料300mm×300mm×50mm的车辙试件，采用KEYENCE VR-5000型光学扫描设备，扫描精度为0.1 mm，在获取路表纹理特征后，可用于进一步计算路表纹理的特征指标，数据量为50.9MB。

The pavement laser point cloud dataset is primarily developed for the automotive braking safety risk identification method under slippery road conditions. Three types of road surface structures based on asphalt mixtures are considered: Stone Mastic Asphalt (SMA-13), Asphalt Concrete (AC-13), and Open-graded Friction Course (OGFC-13). For each of the three asphalt mixtures, rutting specimens with dimensions of 300 mm × 300 mm × 50 mm were fabricated. A KEYENCE VR-5000 optical scanning device was employed, with a scanning accuracy of 0.1 mm. After acquiring the road surface texture features, the dataset can be used for further calculation of road surface texture characteristic indices, with a total data volume of 50.9 MB.

搜集汇总

背景与挑战

背景概述

铺面激光点云数据集包含三种沥青混合料（SMA-13、AC-13、OGFC-13）的激光点云数据，扫描精度为0.1mm，数据量为50.9MB。该数据集主要用于路面湿滑状态下汽车制动安全性风险识别方法的研究。