Takeover Level of Autonomous Vehicle Based on Driver's Neuromuscular Characteristic Chongqing Jiaotong University, China

Format:

Book

Conference/Event

Author/Creator:

Hanbing, Wei, author.

Contributor:

Rui, Xu

Yanhong, Wu

Yuxuan, Zhang

Conference Name:

SAE 2019 Intelligent and Connected Vehicles Symposium (2019-10-15 : Kunshan, China)

Language:

English

Physical Description:

1 online resource cm

Place of Publication:

Warrendale, PA SAE International 2020

Summary:

Taking over vehicle control from a Level 3 conditionally automated vehicle can be a demanding task for a driver, to which great research effort has been contributed in recent years. Nevertheless, more attention should be given to the following aspects. The present research of take-over either only considers the influence of drivers' visual and second task in single scenarios. However, the drivers' NMS (Neuromuscular) characteristic hasn't been investigated yet, especially in complex traffic scenarios. In this paper, a take-over experiment with complex traffic scenarios are conducted to observe the state of vehicle state and arm' EMG (Electromyography) signal. After that, the driving styles are recognized based on the experimental data. Finally, a take-over level with driving style is proposed by clustering based on the condition of human-vehicle-road

Notes:

Vendor supplied data

Publisher Number:

2020-01-5017

Access Restriction:

Restricted for use by site license