Evaluation of traffic sign retroreflectivity measurement using mobile LiDAR
使用移动激光雷达评估交通标志逆反射率测量
基本信息
- 批准号:484404-2015
- 负责人:
- 金额:$ 1.82万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Engage Grants Program
- 财政年份:2015
- 资助国家:加拿大
- 起止时间:2015-01-01 至 2016-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Fugro Roadware is a Mississauga based company specializing in customized roadway infrastructure data collection and processing solutions. Fugro Roadware is internationally known for its innovative and customer-driven Automatic Road Analyzer (ARAN) technology. The ARAN technology was first developed in the mid-1980s. The modular ARAN is a multifunctional vehicle used for road surface data collection, and is currently employed by numerous transportation and infrastructure agencies around the world. The current ARAN system is limited in its ability to detect and assess the quality of retroreflective traffic signs. Retroreflectivity, one of the factors associated with night visibility, is the property of a material to redirect light back towards its source. As the retroreflective properties gradually deteriorate over time, the sign becomes less
detectable and legible at night. Therefore, it is critical to keep monitoring the reflective status of signs and maintain their minimum retroreflectivity levels for regularity, warning, and guide signs. The most objective method to maintain traffic sign retroreflectivity is measuring sign retroreflectivity with handheld devices. However, this maintenance method, measuring reflectance with less representative geometry, is labour-intensive, time-consuming and exposes maintenance crews to risk. Thus a more automated, accurate and safer method of sign retroreflectivity measurement is urgently required. Recently Fugro Roadware integrates an emerging mobile lidar (light detection and ranging) scanner with ARAN system, which allows the
company to rapidly collect high-density and accurate positioning and reflective intensity data along road corridors. In support of ongoing research and development of ARAN technology, this project aims to investigate the potential of mobile lidar scanners mounted on Fugro Roadware's ARAN system as an alternative measure of sign retroreflectivity, to the traditional sign maintenance process. The outcomes of proposed research will lead to a new development of laser-based analytic service for monitoring traffic sign retroreflectivity for Fugro Roaware.
Fugro Roadware是一家总部位于密西索加的公司,专门从事定制道路基础设施数据收集和处理解决方案。Fugro Roadware以其创新和客户驱动的自动道路分析仪(阿兰)技术而闻名于世。阿兰技术最初是在20世纪80年代中期开发的。模块化阿兰是一种用于路面数据收集的多功能车辆,目前被世界各地的许多运输和基础设施机构所采用。当前的阿兰系统在检测和评估逆向反射交通标志质量的能力方面是有限的。逆反射性是与夜间能见度相关的因素之一,是材料将光重定向回其光源的特性。随着逆反射性能随时间逐渐劣化,符号变得更小
在夜间可以清晰地辨认出来。因此,保持对标志的反射状态的监测并保持其最小的回射水平对于规则性、警告和引导标志是至关重要的。用手持设备测量交通标志反光率是保持交通标志反光率最客观的方法。然而,这种维护方法,测量反射率与较少的代表性的几何形状,是劳动密集型的,耗时的,并暴露维护人员的风险。因此,迫切需要一种自动化程度更高、测量精度更高、安全性更高的标志物逆反射率测量方法。最近,Fugro Roadware将新兴的移动的激光雷达(光探测和测距)扫描仪与阿兰系统集成在一起,
公司快速收集高密度和准确的定位和反射强度数据沿着道路走廊。为了支持阿兰技术的持续研究和开发,该项目旨在研究安装在Fugro Roadware的阿兰系统上的移动的激光雷达扫描仪作为传统标志维护过程中标志回射性的替代措施的潜力。拟议的研究成果将导致基于激光的分析服务的新发展,用于监测Fugro Roaware的交通标志回射性。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Sohn, Gunho其他文献
High-density stereo image matching using intrinsic curves
- DOI:
10.1016/j.isprsjprs.2018.10.005 - 发表时间:
2018-12-01 - 期刊:
- 影响因子:12.7
- 作者:
Shahbazi, Mozhdeh;Sohn, Gunho;Theau, Jerome - 通讯作者:
Theau, Jerome
A Piecewise Catenary Curve Model Growing for 3D Power Line Reconstruction
- DOI:
10.14358/pers.78.11.1227 - 发表时间:
2012-12-01 - 期刊:
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- 作者:
Jwa, Yoonseok;Sohn, Gunho - 通讯作者:
Sohn, Gunho
Point-based Classification of Power Line Corridor Scene Using Random Forests
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10.14358/pers.79.9.821 - 发表时间:
2013-09-01 - 期刊:
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Kim, Heungsik B.;Sohn, Gunho - 通讯作者:
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Data fusion of high-resolution satellite imagery and LiDAR data for automatic building extraction
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10.1016/j.isprsjprs.2007.01.001 - 发表时间:
2007-05-01 - 期刊:
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Sohn, Gunho;Dowman, Ian - 通讯作者:
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Tree genera classification with geometric features from high-density airborne LiDAR
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10.5589/m13-024 - 发表时间:
2013-12-01 - 期刊:
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- 作者:
Ko, Connie;Sohn, Gunho;Remmel, Tarmo K. - 通讯作者:
Remmel, Tarmo K.
Sohn, Gunho的其他文献
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{{ truncateString('Sohn, Gunho', 18)}}的其他基金
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RGPIN-2020-07144 - 财政年份:2021
- 资助金额:
$ 1.82万 - 项目类别:
Discovery Grants Program - Individual
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RGPIN-2020-07144 - 财政年份:2020
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Discovery Grants Program - Individual
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$ 1.82万 - 项目类别:
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- 批准号:
537080-2018 - 财政年份:2019
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$ 1.82万 - 项目类别:
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$ 1.82万 - 项目类别:
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