非接触摄影测量识别技术精度数据集

非接触摄影测量识别技术主要面向智能道路路表抗滑预估模型研究，基于摄影测量原理开发的自动化测量路表抗滑性能的方法。只需要可远程控制拍摄的相机，使用本研究开发的拍摄方法，与市面上常用的三维激光仪进行对比，记录了路表几个典型三维纹理参数的数值，证明本研究开发的方法精度高于95%。

Non-contact photogrammetric recognition technology is mainly targeted at research on intelligent road surface skid resistance prediction models. It is an automated method for measuring road surface skid resistance performance developed based on photogrammetry principles. The method only requires a remotely controllable camera. Using the shooting method developed in this study, a comparison was conducted with the commonly used commercial 3D laser scanners. The values of several typical 3D texture parameters of the road surface were recorded, which demonstrated that the accuracy of the method developed in this study exceeds 95%.

搜集汇总

背景与挑战

背景概述

该数据集聚焦于非接触摄影测量识别技术在道路工程中的应用，主要用于智能道路路表抗滑性能的自动化测量研究。通过对比三维激光仪，数据集验证了基于摄影测量原理的方法精度超过95%，包含路表三维纹理参数数据，数据量为25.01MB，源自国家重点研发计划项目。