基于轻量化车载设备的道路病害检测方法

Road damage detection method based on lightweight vehicle equipment

针对传统道路检测方法成本高、检测周期长,无法满足城市道路大规模、短周期检测需求的问题,本文设计了一种轻量化车载道路病害数据获取设备,并提出了基于轻量化车载设备的道路病害检测方法。该设备质量小、成本低,可简易、快速地安装在小汽车、公共汽车等城市常见车辆上,能够同步收集惯性数据、图像、GPS定位信息等数据。基于轻量化车载设备在城市道路上采集道路图片数据并构建数据集,然后建立深度学习模型对其进行训练和评估,检测和识别道路病害,正确率达82.54%,能够满足城市道路日常巡检的要求。

In response to the high cost and long detection cycle of traditional road detection methods,which can not meet the needs of large-scale and short-term detection of urban roads,this paper designs a lightweight vehicle mounted road damage data acquisition device and proposes a road damage detection method based on lightweight vehicle mounted devices.This device has the characteristics of small mass and low cost,and can be easily and quickly installed on common urban vehicles such as cars and buses,and synchronously collect inertial data,images,GPS positioning information,and other data.The road damage detection method proposed in this article is based on lightweight vehicle mounted devices,which collect road image data on urban roads to construct a dataset,establish a deep learning model for training and evaluation,and detect and recognize road damage.The accuracy rate is 82.54%,which can meet the requirements of daily inspection of urban roads.