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首页> 外文期刊>Mathematical Problems in Engineering: Theory, Methods and Applications >Image-Based Pothole Detection System for ITS Service and Road Management System
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Image-Based Pothole Detection System for ITS Service and Road Management System

机译:基于图像的ITS服务坑洼检测系统和道路管理系统

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摘要

Potholes can generate damage such as flat tire and wheel damage, impact and damage of lower vehicle, vehicle collision, and major accidents. Thus, accurately and quickly detecting potholes is one of the important tasks for determining proper strategies in ITS (Intelligent Transportation System) service and road management system. Several efforts have been made for developing a technology which can automatically detect and recognize potholes. In this study, a pothole detection method based on two-dimensional (2D) images is proposed for improving the existing method and designing a pothole detection system to be applied to ITS service and road management system. For experiments, 2D road images that were collected by a survey vehicle in Korea were used and the performance of the proposed method was compared with that of the existing method for several conditions such as road, recording, and brightness. The results are promising, and the information extracted using the proposed method can be used, not only in determining the preliminary maintenance for a road management system and in taking immediate action for their repair and maintenance, but also in providing alert information of potholes to drivers as one of ITS services.
机译:坑洼会产生损坏,例如轮胎漏气和车轮损坏,低位车辆的撞击和损坏,车辆碰撞以及重大事故。因此,准确快速地检测坑洼是在ITS(智能交通系统)服务和道路管理系统中确定适当策略的重要任务之一。为了开发一种可以自动检测和识别坑洼的技术,已经做出了一些努力。为了改进现有方法并设计一种应用于ITS服务和道路管理系统的坑洞检测系统,提出了一种基于二维图像的坑洞检测方法。为了进行实验,使用了由韩国的调查车辆收集的2D道路图像,并将该方法的性能与现有方法在道路,记录和亮度等几种条件下的性能进行了比较。结果是有希望的,并且使用所提出的方法提取的信息不仅可以用于确定道路管理系统的初步维护,并可以立即采取措施进行维修和维护,还可以为驾驶员提供坑洼警报信息作为ITS服务之一。

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