红外与激光工程, 2018, 47 (6): 0617007, 网络出版: 2018-09-08   

基于线激光的自然条件下路面车辙实时检测方法研究

A real-time detection approach to pavement rutting based on line laser in nature condition
作者单位
1 武汉理工大学 信息工程学院, 湖北 武汉 430070
2 交通运输部公路科学研究所, 北京 100088
摘要
对路面车辙线激光实时检测方法进行了研究, 在自然驾驶条件下, 采用激光器向路面连续发射线激光, 通过高分辨率相机动态获取路面车辙激光线的序列图像, 并对路面车辙进行实时检测。针对路面复杂背景强干扰条件下的车辙激光线难以提取问题, 对路面车辙激光线图像进行了特征分析, 给出了非负特征测度定义及非负强度计算公式, 提出了基于非负特征和峰值连续性的路面车辙激光线提取方法。该方法不再采用图像处理常规方法, 而是利用峰值连续性快速跟踪路面车辙激光线的显著脊点与非显著脊点, 实现路面复杂背景车辙激光线的快速和精确提取。在不封路、不停车、不阻碍交通的自然运行条件下, 进行了大量的路面车辙检测实验, 实验结果验证了文中提取方法的有效性和准确性, 解决了自然条件下路面车辙激光线的快速和精确提取问题, 为路面车辙的自动检测及路面质量评价提供技术支撑。
Abstract
A real-time laser path detection method of pavement rutting line was studied in this paper. In traffic running condition of normal driving mode, the lasers were used to continuously emit line laser to the pavement. A sequence of pavement rutting laser line images were acquired dynamically by a high-resolution camera and pavement rutting were detected in moving situation in real time. Aiming at the problem of difficult to extract the rutting laser line under the strong interference of the pavement complex background, the characteristics of the rutting laser image of the pavement were analyzed. The definition of non-negative feature measure and the formula of non-negative intensity were given. A method of extracting rutting laser line based on non-negative feature and peak continuity was proposed. Rather than using conventional methods of image processing, the significant and non-significant ridges of the rutting laser line were tracked rapidly using peak continuity to achieve fast and accurate extraction of the rutting laser line with complex background. A large number of verifying tests for different pavements were carried out under conditions of driving, opening traffic, and without blocking other transportation. The experimental results verify the effectiveness and accuracy of the proposed method and solve the problem of fast and accurate extraction of the rutting laser line under natural running conditions. It provides a key technical support for the automatic on-line detection of the pavement rutting and quality evaluation of road surface.

洪梓铭, 陈昆, 荆根强, 艾青松. 基于线激光的自然条件下路面车辙实时检测方法研究[J]. 红外与激光工程, 2018, 47(6): 0617007. Hong Ziming, Chen Kun, Jing Genqiang, Ai Qingsong. A real-time detection approach to pavement rutting based on line laser in nature condition[J]. Infrared and Laser Engineering, 2018, 47(6): 0617007.

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