基于触发的智能手机和OBD-II凹坑探测技术

K. Ashwini, Ganesh Bhagwat, Thrilochan Sharma, P. Pagala
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引用次数: 3

摘要

最近几天,道路基础设施的维护引起了很多关注。恶劣的路况经常对车辆和乘客造成不可忽视的损害。造成损坏的一些主要因素是坑洼、减速带、凹凸不平的路面等。这些异常的存在也会影响乘坐质量和乘客的安全。该论文描述了一种低成本的方法,该方法使用智能手机和OBD-II模块来检测和定位道路上的坑洼。它利用视觉数据、传感器数据和OBD数据来创建和验证凹坑引起的触发器。提出了图像触发和数据触发两种方法,分别通过图像/视频处理和数据处理对道路坑洼进行识别并产生触发。每一种方法得到的结果与另一种方法交叉验证,有助于评估基于路况的乘坐质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Trigger-Based Pothole Detection Using Smartphone and OBD-II
Maintenance of road infrastructure has gathered a lot of attention in recent days. Bad road conditions often cause damages to vehicles and passengers that cannot be neglected. Some of the major factors that cause damage are potholes, speed-breakers, uneven patches etc. The presence of such abnormalities also affects ride quality and safety of passengers. The paper describes a low-cost method that employs a smartphone and an OBD-II module to detect and locate potholes on roads. It utilizes vision data, sensor data and OBD data to create and validate triggers caused by potholes. The image-triggered and data-triggered methods proposed recognize potholes on roads and create a trigger through image/video processing and data processing respectively. The results obtained from each method is cross validated by the other method that help in evaluating ride quality based on road conditions.
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