TY - GEN
T1 - A driver assistance framework based on driver drowsiness detection
AU - Tran, Duy
AU - Tadesse, Eyosiyas
AU - Sheng, Weihua
AU - Sun, Yuge
AU - Liu, Meiqin
AU - Zhang, Senlin
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/9/22
Y1 - 2016/9/22
N2 - This paper proposes the development of a driver assistance framework that allows switching between manual and autonomous driving on a simulated testbed. This testbed is a driving simulator which can create realistic environments and driving experience while enabling both autonomous and manual driving capabilities. The switching between manual and autonomous driving is triggered by the driver drowsiness analysis which is performed with two inputs: driver's facial data (from a camera mounted in front of the driver) and steering wheel data (from a car controller system). In this paper, the driver status is always monitored. When he is not drowsy, he can manually drive the simulated car. Otherwise, the simulator lets the car switch to autonomous driving to run in a pre-defined trajectory. Experiments were performed on the simulated testbed to demonstrate the effectiveness of the proposed framework.
AB - This paper proposes the development of a driver assistance framework that allows switching between manual and autonomous driving on a simulated testbed. This testbed is a driving simulator which can create realistic environments and driving experience while enabling both autonomous and manual driving capabilities. The switching between manual and autonomous driving is triggered by the driver drowsiness analysis which is performed with two inputs: driver's facial data (from a camera mounted in front of the driver) and steering wheel data (from a car controller system). In this paper, the driver status is always monitored. When he is not drowsy, he can manually drive the simulated car. Otherwise, the simulator lets the car switch to autonomous driving to run in a pre-defined trajectory. Experiments were performed on the simulated testbed to demonstrate the effectiveness of the proposed framework.
UR - https://www.scopus.com/pages/publications/84991577769
U2 - 10.1109/CYBER.2016.7574817
DO - 10.1109/CYBER.2016.7574817
M3 - 会议稿件
AN - SCOPUS:84991577769
T3 - 6th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2016
SP - 173
EP - 178
BT - 6th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2016
Y2 - 19 June 2016 through 22 June 2016
ER -