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首页> 外文期刊>Journal of Infrastructure Systems >Automated Framework to Audit Traffic Signs Using Remote Sensing Data
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Automated Framework to Audit Traffic Signs Using Remote Sensing Data

机译：使用遥感数据自动框架到审计交通标志

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摘要

Traffic signs play a critical role in the safety and efficiency of any roadway; however, limited information exists on current traffic sign inventories (TSIs). The size of current traffic sign networks makes it economically challenging to apply traditional survey methods to the collection of a TSI. This paper proposes the use of light detection and ranging and video-log imaging to conduct a TSI, tested along a 4-km segment in Alberta, Canada. Signs along the segment were extracted through a Gaussian mixture model before measuring sign panel orientation. Then, the road surface near each traffic sign was extracted to measure its lateral and vertical placement. Next, sign classification was determined by applying a trained convolutional neural network. Finally, traffic sign visibility was measured to assess the time available for drivers to read and react to traffic signs. The extraction of traffic signs and the left and right lane markings had F1 scores of 95.1%, 94.4%, and 89.6%, respectively. The extractions were completed with a high degree of accuracy and with time benefits over traditional manual methods. (C) 2021 American Society of Civil Engineers.
机译：交通标志在任何道路的安全性和效率中发挥着关键作用;但是，当前交通标志库存（TSIS）存在有限的信息。当前交通标志网络的大小使得在经济上挑战，将传统的调查方法应用于TSI的集合。本文提出使用光检测和测距和视频日志成像来进行TSI，沿加拿大艾伯塔省的4公里段进行测试。在测量符号面板方向之前，通过高斯混合模型提取沿着该段的迹象。然后，提取每个交通标志附近的路面以测量其横向和垂直放置。接下来，通过应用训练有素的卷积神经网络来确定标志分类。最后，测量了交通标志可见性，以评估可用于驾驶员读取和对交通标志作出反应的可用时间。交通标志的提取和左右车道标记分别具有95.1％，94.4％和89.6％的F1分数。提取以高精度和传统的手动方法的时间效益完成。 （c）2021年美国土木工程师协会。

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  • 来源
    《Journal of Infrastructure Systems》 |2021年第3期|04021014.1-04021014.16|共16页
  • 作者

    Karsten Lloyd; Gargoum Suliman; Saleh Mohamed; El-Basyouny Karim;

  • 作者单位

    Univ Alberta Dept Civil & Environm Engn 6-362 Donadeo Innovat Ctr Engn 9211 116 St NW Edmonton AB T6G 1H9 Canada;

    Univ British Columbia Sch Engn EME4242-1137 Alumni Ave Vancouver BC V1V 1V7 Canada;

    Univ Alberta Dept Civil & Environm Engn 6-362 Donadeo Innovat Ctr Engn 9211 116 St NW Edmonton AB T6G 1H9 Canada;

    Univ Alberta City Edmonton Urban Traff Safety Res Cahir Dept Civil & Environm Engn Edmonton AB T6G 1H9 Canada;

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