基于传感器融合的道路变形检测

2017 9th International Conference on Information Technology and Electrical Engineering (ICITEE) Pub Date : 2017-10-01 DOI:10.1109/ICITEED.2017.8250503

Katsuto Yamaki, Kosuke Matsushima, Osamu Takahashi

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引用次数: 4

摘要

由于日常交通、天气、温度等因素的影响，沥青路面状况逐渐恶化。然后它以路面变形的形式出现。为了防止它们对人类造成伤害，我们需要对现有的地下空洞进行探测。因此，效率的位置估计是维护道路安全的重要因素。本研究旨在开发沥青路面变形监测系统(APDMS)。APDMS利用计算机视觉、激光测距仪和惯性测量传感器自动检测沥青路面的变形。采用激光测距仪更精确地采集路面高度数据。然后利用视觉传感器获取沥青路面的状态。实验结果表明，采用传感器融合方法可以正确检测路面变形。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Road deformation detection based sensor fusion

The state of asphalt pavement gradually becomes worse because of daily traffic, weather, and temperature. Then it emerges as pavement deformations. For preventing human damages by them, we need to detect existing underground cavity. Consequently, location estimation of the efficiency is an important factor for maintaining the road safety. The purpose of the present study is to develop Asphalt Pavement Deformation Monitoring System (APDMS). The APDMS automatically detects the deformation of asphalt pavement using computer vision, laser range finder, and inertial measurement sensor. Laser range finder is used to collect height data of pavement surface more accurately. Then vision sensor is used to acquire a state of asphalt pavement. Experimental results show that pavement deformations can be detected correctly with the sensor fusion method.

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来源期刊

2017 9th International Conference on Information Technology and Electrical Engineering (ICITEE)

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