TY - GEN
T1 - Intuitive Maneuver of Autonomous Vehicles without Physical Control Interfaces using Wearable Sensing Devices
AU - Wang, Weitian
AU - Li, Rui
AU - Diekel, Z. Max
AU - Jia, Yunyi
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2018/8/24
Y1 - 2018/8/24
N2 - Autonomous vehicles are more and more likely to eliminate steering wheels, gas/brake pedals and driving shifts. However, direct controls of such vehicle by human drivers are still necessary, especially when the vehicles fail to drive as well as expected. To this end, we propose an intuitive maneuvering approach for autonomous vehicles by using a wearable device which incorporates Electromyography (EMG) and inertial measurement unit (IMU) signals. Based on goal instructions and motion planning algorithms in this approach, humans can intuitively control the accelerator/brake, steering and driving shift of a vehicle using their hand motions and gestures. This approach was implemented by a series of driving experiments in practical cases on a lab-based research vehicle. Experimental results demonstrated that by taking advantages of intuitive operations in this approach, the human can successfully and effectively control the vehicle to accomplish driving tasks in the human-vehicle intuitive maneuver system.
AB - Autonomous vehicles are more and more likely to eliminate steering wheels, gas/brake pedals and driving shifts. However, direct controls of such vehicle by human drivers are still necessary, especially when the vehicles fail to drive as well as expected. To this end, we propose an intuitive maneuvering approach for autonomous vehicles by using a wearable device which incorporates Electromyography (EMG) and inertial measurement unit (IMU) signals. Based on goal instructions and motion planning algorithms in this approach, humans can intuitively control the accelerator/brake, steering and driving shift of a vehicle using their hand motions and gestures. This approach was implemented by a series of driving experiments in practical cases on a lab-based research vehicle. Experimental results demonstrated that by taking advantages of intuitive operations in this approach, the human can successfully and effectively control the vehicle to accomplish driving tasks in the human-vehicle intuitive maneuver system.
KW - EMG information
KW - gesture
KW - human-vehicle collaboration
KW - intuitive maneuver
KW - motions planning
UR - http://www.scopus.com/inward/record.url?scp=85053822743&partnerID=8YFLogxK
U2 - 10.1109/CYBER.2017.8446543
DO - 10.1109/CYBER.2017.8446543
M3 - Conference contribution
AN - SCOPUS:85053822743
SN - 9781538604892
T3 - 2017 IEEE 7th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2017
SP - 1451
EP - 1456
BT - 2017 IEEE 7th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th IEEE Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2017
Y2 - 31 July 2017 through 4 August 2017
ER -