方向(向量空间)
主管(地质)
计算机视觉
跟踪(教育)
计算机科学
面子(社会学概念)
人工智能
任务(项目管理)
跟踪系统
运动(音乐)
模拟
实时计算
工程类
声学
心理学
地质学
社会学
物理
地貌学
系统工程
滤波器(信号处理)
社会科学
数学
教育学
几何学
作者
Yifan Zhao,Lorenz Görne,Iek-Man Yuen,Dongpu Cao,Mark J. M. Sullman,Daniel J. Auger,Chen Lv,Huaji Wang,Rebecca Matthias,Lee Skrypchuk,Alexandros Mouzakitis
出处
期刊:Sensors
[MDPI AG]
日期:2017-11-22
卷期号:17 (11): 2692-2692
被引量:26
摘要
Although at present legislation does not allow drivers in a Level 3 autonomous vehicle to engage in a secondary task, there may become a time when it does. Monitoring the behaviour of drivers engaging in various non-driving activities (NDAs) is crucial to decide how well the driver will be able to take over control of the vehicle. One limitation of the commonly used face-based head tracking system, using cameras, is that sufficient features of the face must be visible, which limits the detectable angle of head movement and thereby measurable NDAs, unless multiple cameras are used. This paper proposes a novel orientation sensor based head tracking system that includes twin devices, one of which measures the movement of the vehicle while the other measures the absolute movement of the head. Measurement error in the shaking and nodding axes were less than 0.4°, while error in the rolling axis was less than 2°. Comparison with a camera-based system, through in-house tests and on-road tests, showed that the main advantage of the proposed system is the ability to detect angles larger than 20° in the shaking and nodding axes. Finally, a case study demonstrated that the measurement of the shaking and nodding angles, produced from the proposed system, can effectively characterise the drivers' behaviour while engaged in the NDAs of chatting to a passenger and playing on a smartphone.
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