Amelio-rater:自动评级和实时监控驾驶异常行为的检测和分类

Noha El Masry, Passant El-Dorry, Mariam El Ashram, Ayman Atia, Jiro Tanaka
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引用次数: 4

摘要

对司机的实时监控可能是迫使他们安全驾驶的一个因素。在本文中,我们介绍了一个名为“Amelio-Rater”的系统,该系统专注于异常驾驶行为的检测和分类,以自动生成驾驶员评级和实时监控。为了减少恶意评级,Amelio-rater引入了一种自动评级系统,该系统仅根据驾驶员的驾驶行为计算。每个驾驶员都将获得自己的amelia评分率和手动用户评分率。所提出的系统监测的驾驶异常行为有多种类型,如蜿蜒、单行、突然变道和超速。结果表明,amerio -rater的分类准确率达到95%。我们的实验表明,驾驶行为的手动用户率与amelo -rater给出的率相差不大。阿梅里奥评分者的评分与用户给出的实际评分非常接近。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Amelio-rater: Detection and Classification of Driving Abnormal Behaviours for Automated Ratings and Real-Time Monitoring
Real-time monitoring of the drivers may be a factor that would force them to drive safely. In this paper, we introduce a system named ’Amelio-Rater", that focuses on detection and classification of abnormal driving behaviours for automatically generating driver ratings and real-time monitoring. To reduce malicious ratings, the Amelio-rater introduces an automatic rating system which is calculated purely based on the driver’s driving behaviours only. Each driver will be given his own Amelio-rater rate and a manual user rate. There are multiple types of driving abnormal behaviours monitored by the proposed system such as meandering, single weaves, sudden changing of lanes and speeding. The classification results achieved showed that the Amelio-rater reached an accuracy of 95%. Our experiments showed that the manual user rates given for the driving behaviour are not far from the rates given by Amelio-rater. Amelio-rater rates were very close to the actual rates given by the users.
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