损伤检测器:利用公共车辆和摄像头对车厢线路进行损伤自动检测

Takafumi Kawasaki, M. Kawano, Takeshi Iwamoto, M. Matsumoto, Takuro Yonezawa, J. Nakazawa, H. Tokuda
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引用次数: 5

摘要

在日本,有120万公里或更多的道路,其中90万公里的道路已经铺设。铺砌的道路上涂有车厢线,将许多车辆和司机与行人分开。隔层线对于驾驶员和行人来说非常重要,因为他们可以通过隔层线来识别道路和人行道的宽度。因此,市政当局需要对正在运行的车厢线进行检查,但这些检查是由人来检查的,因此道路管理的负担很大。本研究的目的是自动检测车厢线的损伤。从摄像机获得的图像,应用随机森林。在这个实验中,我们使用了大约5万多张图像,通过捕捉步行相机和车载相机。对比基线和精度结果,对隔室线损伤进行检测,验证了所提方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Damage Detector: The Damage Automatic Detection of Compartment Lines Using A Public Vehicle and A Camera
In Japan, there are 1.2milion kilometers or more of the road, of which 900,000 km of road has been paved. Paved road has been painted compartment line to separate many vehicles and driver-pedestrian. Compartment line is important for drivers and pedestrians because they can recognize for they are aware of the width of the roadway and the sidewalk by the compartment line. Therefore, municipality should inspect the ongoing compartment line but they are inspected by people so the burden for road management is big. The purpose of this research would be to automatically detect the damage of the compartment line. The image obtained from cameras, applying random forest. In this experiment, we used more than about 50,000 of images by capturing a Walking camera and a vehicle-mounted camera. Baseline and precision comparison result, the detection of damage to compartment line, it was confirmed that the proposed method is effective.
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