摘要
针对传统道路巡查养护技术效率低、人工投入大的问题,文章采用一种便携式车载终端与自动驾驶车辆相结合的巡检技术。通过自动驾驶车辆上安装的采集终端进行路面影像的自动化采集,建立SSD路面病害检测模型,对采集的数据进行实时处理,将检测结果以可视化的形式通过后台公路巡检管理平台进行展示,辅助道路管养部门进行处置。该方法已在苏州市相城区开展示范应用,结果表明提出的基于自动驾驶车辆的公路养护巡查技术病害识别精度可达91.55%,人工巡检效率提升40%,具有广泛的应用价值。
To address the issues of low efficiency and high manpower input in traditional road inspection and maintenance techniques,this paper proposes an inspection technology that combines a portable on-board terminal with autonomous vehicles.The technology involves the automated collection of road surface images through a data collection terminal installed on autonomous vehicles.An SSD road surface defect detection model is established to process the collected data in real-time.The detection results are visualized and displayed through a backend highway inspection management platform,assisting road maintenance departments in decision-making.This method has been demonstrated in Suzhou's Xiangcheng district,with results showing that the proposed highway maintenance inspection technology based on autonomous vehicles achieves a defect identification accuracy of 91.55%,and increases the efficiency of manual inspection by 40%.The technology demonstrates significant and widespread practical value.
作者
严灿泽
李昭
YAN Can-ze;LI Zhao
出处
《智能城市》
2024年第1期5-8,共4页
Intelligent City
基金
江苏省交通运输科技示范工程项目(2022Y07)。
关键词
自动驾驶
公路养护巡查
深度学习
数字化管理
autonomous driving
highway maintenance inspection
deep learning
digital management
