Maintaining driver attentiveness in shared-control autonomous driving

被引：5
|
作者：
Calinescu, Radu [1 ]
Alasmari, Naif [1 ]
Gleirscher, Mario [1 ]
机构：
[1] Univ York, Dept Comp Sci, York, N Yorkshire, England
来源：
2021 INTERNATIONAL SYMPOSIUM ON SOFTWARE ENGINEERING FOR ADAPTIVE AND SELF-MANAGING SYSTEMS (SEAMS 2021) | 2021年
关键词：
autonomous driving; shared control; MAPE control loop; controller synthesis; probabilistic model checking; GENETIC ALGORITHM; MODELS;
D O I：
10.1109/SEAMS51251.2021.00021
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
We present a work-in-progress approach to improving driver attentiveness in cars provided with automated driving systems. The approach is based on a control loop that monitors the driver's biometrics (eye movement, heart rate, etc.) and the state of the car; analyses the driver's attentiveness using a deep neural network; plans driver alerts and changes in the speed of the car using a formally verified controller; and executes this plan using acoustic, visual and haptic actuators. The paper presents (i) the self-adaptive system formed by this monitor-analyse-plan-execute (MAPE) control loop, the car and the monitored driver, and (ii) the use of probabilistic model checking to synthesise the controller for the planning step of the MADE loop.
引用
收藏
页码：90 / 96
页数：7
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