TY - GEN
T1 - A hand gesture based driver-vehicle interface to control lateral and longitudinal motions of an autonomous vehicle
AU - Manawadu, Udara E.
AU - Kamezaki, Mitsuhiro
AU - Ishikawa, Masaaki
AU - Kawano, Takahiro
AU - Sugano, Shigeki
N1 - Funding Information:
This research was supported by Global COE Program Global Robot Academia, MEXT, Japan, by JSPS KAKENHI Grant Numbers 16K06196 and 25220005, and by the Research Institute for Science and Engineering, Waseda University
Publisher Copyright:
© 2016 IEEE.
PY - 2017/2/6
Y1 - 2017/2/6
N2 - Autonomous vehicles would make the future roads safer by keeping the human driver out of the loop. However, reduced degree of human-control could result in loss of the feeling of driving for some drivers. Therefore, in this study we proposed a method of interaction between the driver and autonomous vehicle by allowing the driver to control the vehicle's lateral and longitudinal motions. We adopted hand gestures as input modality because it can reduce driver's visual and cognitive demands. We first derived seven fundamental vehicle maneuvers to improve driver experience, and related them to seven independent hand gestures. We then created a hand gesture interface to control an autonomous vehicle, using Leap Motion as the gesture recognition platform. We conducted driving experiments involving twenty drivers in a virtual reality driving simulator to investigate the effectiveness of this interface for vehicle control. We evaluated the driving experience and drivers' opinions regarding the gestural interface. The results proved that semi-autonomous controlling using the hand gesture interface significantly reduced drivers' perceived workload.
AB - Autonomous vehicles would make the future roads safer by keeping the human driver out of the loop. However, reduced degree of human-control could result in loss of the feeling of driving for some drivers. Therefore, in this study we proposed a method of interaction between the driver and autonomous vehicle by allowing the driver to control the vehicle's lateral and longitudinal motions. We adopted hand gestures as input modality because it can reduce driver's visual and cognitive demands. We first derived seven fundamental vehicle maneuvers to improve driver experience, and related them to seven independent hand gestures. We then created a hand gesture interface to control an autonomous vehicle, using Leap Motion as the gesture recognition platform. We conducted driving experiments involving twenty drivers in a virtual reality driving simulator to investigate the effectiveness of this interface for vehicle control. We evaluated the driving experience and drivers' opinions regarding the gestural interface. The results proved that semi-autonomous controlling using the hand gesture interface significantly reduced drivers' perceived workload.
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U2 - 10.1109/SMC.2016.7844497
DO - 10.1109/SMC.2016.7844497
M3 - Conference contribution
AN - SCOPUS:85015749583
T3 - 2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings
SP - 1785
EP - 1790
BT - 2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016 - Conference Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2016
Y2 - 9 October 2016 through 12 October 2016
ER -