Cost-Efficient Driver State and Road Conditions Monitoring System for Conditional Automation

被引：0

作者：

Allamehzadeh, Arman ^{[1
]}

Urdiales de la Parra, Jesus ^{[2
]}

Hussein, Ahmed ^{[2
]}

Garcia, Fernando ^{[2
]}

Olaverri-Monreal, Cristina ^{[1
]}

机构：

[1] Univ Appl Sci Tech Wien, Dept Informat Engn & Secur, Vienna, Austria

[2] Univ Carlos III Madrid, Syst & Automat Dept, Res Grp, Intelligent Syst Lab LSI, Getafe, Spain

来源：

2017 28TH IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV 2017) | 2017年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Driver State Monitoring Systems (DSMS) play a crucial role in determining whether the driver is prepared to take control of the vehicle or not. In this paper we present a cost-efficient, context-aware system, based on smartphones, which supports the driver in the driving task. This is through monitoring the driver attention and drowsiness, in addition to detecting pedestrians and vehicles. The detection rates obtained 85% in the case of pedestrians and over 90% in the case of vehicles, along with the results of the driver state, measured by closed eye duration, proved the viability of the proposed approach to provide situational awareness in the novel paradigm of autonomous driving.

引用

页码：1497 / 1502

页数：6

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