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Pothole Identification and Management Autonomous System

坑洞识别与管理自主系统

基本信息

批准号：
EP/R005400/1
负责人：
Nabil Aouf
金额：
$ 19.23万
依托单位：
CRANFIELD UNIVERSITY
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2017
资助国家：
英国
起止时间：
2017 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=EP%2FR005400%2F1
关键词：
Pothole Identification Management Autonomous System

项目摘要

Context:A 2016 survey for KwikFit by ICM Research estimated the annual total cost of pothole damage to UK motorists was £684m. Research by the Asphalt Industries Alliance (ALARM 2016) identified that the total cost of compensation claims against local authorities in England and Wales for 2015/2016 was £28.4m - 76% of which was directly attributable to potholes. Whilst local authorities have a legal responsibility for dealing with damage to roads, they are heavily dependent on issues being reported to them by the general public to enable assessment and repair. The reactive nature of pothole reporting, assessment and repair is inefficient and largely ineffective.Aims and Objectives:The aim of the project is to develop technology improving the way local authorities identify and manage potholes, and is designed to enable them to improve roads and reduce costs. The key objectives are:1. To develop affordable sensor technology to enable a vehicle mounted sensor travelling at speeds of up to 65Km/hr to identify and capture road damage between road kerb and centre line.2. To classify the road damage for reporting purposes.3. To provide an image of the damage.4. To provide an accurate location of the road damage.5. To create a "learning database" of typical damage parameters.6. To report the road damage on a store-and-forward or real-time basis.7. To capture and store data on a cloud based service.8. To map data so that it is easily understood.9. To provide web-based access to map based products.The project will initially focus on delivering a prototype for identifying, classifying, reporting and sharing information on potholes. Real-time applications will be developed following successful demonstration on the initial capability.Applications and benefits:The project will provide vehicle mounted sensors which can identify and classify potholes and other road damage, provide an accurate position for the damage to the road, report the occurrence by forwarding to cloud storage and enable the data to be accessed through a web browser showing the data on a map. We believe the most effective mechanism to deliver comprehensive mapping of local authority roads will be by mounting the sensors on refuge and recycling waste collection vehicles. This could be supplemented by standalone survey vehicles. Combining data from local authorities would provide comprehensive mapping of a region and potentially the UK.Benefits include:1. The creation of a detailed web-based mapping source of potholes in roads for highways agencies, local authorities and private subscribers. The data would include classification of damage, imaging and accurate positioning. This would enable highways authorities and local authorities to make informed decisions on the prioritisation of road repairs and provide private subscribers with a tool to avoid road damage to private vehicles.2. Real-time data capture and reporting of ground disturbances for military users in operational environments with a risk of improvised explosive device (IED) attack; enabling potential threats to be mitigated.3. Real-time data capture and reporting of natural and man-made hazards for unmanned precision farming vehicles; enabling avoidance action to be taken before impact.

背景：ICM研究公司2016年为KwikFit做的一项调查估计，英国驾车者每年因路面坑洼造成的损失总计为6.84亿英镑。沥青工业联盟（ALARM 2016）的研究表明，2015/2016年英格兰和威尔士地方当局索赔的总费用为2840万英镑，其中76%直接归因于坑洞。虽然地方当局有处理道路损坏的法律责任，但他们严重依赖公众向他们报告的问题来进行评估和修复。坑洼报告、评估和修复的反应性是低效的，而且在很大程度上是无效的。目的和目标：该项目的目的是开发技术，改进地方当局识别和管理坑洼的方式，并使他们能够改善道路和降低成本。主要目标是：1。开发经济实惠的传感器技术，使车载传感器能够以高达65公里/小时的速度行驶，以识别和捕捉道路边缘和中心线之间的道路损坏情况。对道路损坏进行分类，以便进行报告。提供损坏的图像。提供道路损坏的准确位置。创建典型损伤参数的“学习数据库”。以存储转发或实时方式报告道路损坏情况。在基于云的服务上捕获和存储数据。将数据绘制成地图以便于理解。为基于地图的产品提供基于网络的访问。该项目最初将专注于提供一个识别、分类、报告和共享坑洼信息的原型。在初步能力成功演示后，将开发实时应用程序。应用和好处：该项目将提供车载传感器，可以识别和分类坑洼和其他道路损坏，为道路损坏提供准确的位置，通过转发到云存储报告发生情况，并使数据能够通过web浏览器访问，并在地图上显示数据。我们认为，将传感器安装在避难所和回收废物收集车上，将是提供地方当局道路综合地图的最有效机制。这可以由独立的调查车辆加以补充。结合地方当局的数据将提供一个地区乃至整个英国的全面地图。福利包括:1。为高速公路机构、地方当局和私人订户创建详细的基于网络的道路坑洼地图资源。这些数据将包括损伤分类、成像和准确定位。这将使公路当局和地方当局能够就道路维修的优先次序作出明智的决定，并为私人用户提供一种工具，以避免私人车辆受到道路损坏。在有简易爆炸装置（IED）袭击风险的作战环境中，为军事用户实时捕获和报告地面干扰；使潜在的威胁得以减轻。面向无人精准农用车的天灾人祸实时数据采集与报告；使避免动作在撞击前采取。