An integrated manual and autonomous driving framework based on driver drowsiness detection

Weihua Sheng; Yongsheng Ou; Duy Tran; Eyosiyas Tadesse; Meiqin Liu; Gangfeng Yan

doi:10.1109/IROS.2013.6696984

An integrated manual and autonomous driving framework based on driver drowsiness detection

Weihua Sheng
, Yongsheng Ou
, Duy Tran
, Eyosiyas Tadesse
, Meiqin Liu
, Gangfeng Yan

Oklahoma State University
Shenzhen Institute of Advanced Technology
Zhejiang University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

23 Scopus citations

Abstract

In this paper, we propose and develop a framework for automatic switching of manual driving and autonomous driving based on driver drowsiness detection. We first present the scale-down intelligent transportation system (ITS) testbed. This testbed has four main parts: an arena; an indoor localization system; automated radio controlled (RC) cars; and roadside monitoring facilities. Second, we present the drowsiness detection algorithm which integrates facial expression and racing wheel motion to recognize driver drowsiness. Third, a manual and autonomous driving switching mechanism is developed, which is triggered by the detection of drowsiness. Finally, experiments were performed on the ITS testbed to demonstrate the effectiveness of the proposed framework.

Original language	English
Title of host publication	IROS 2013
Subtitle of host publication	New Horizon, Conference Digest - 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems
Pages	4376-4381
Number of pages	6
DOIs	https://doi.org/10.1109/IROS.2013.6696984
State	Published - 2013
Externally published	Yes
Event	2013 26th IEEE/RSJ International Conference on Intelligent Robots and Systems: New Horizon, IROS 2013 - Tokyo, Japan Duration: 3 Nov 2013 → 8 Nov 2013

Publication series

Name	IEEE International Conference on Intelligent Robots and Systems
ISSN (Print)	2153-0858
ISSN (Electronic)	2153-0866

Conference

Conference	2013 26th IEEE/RSJ International Conference on Intelligent Robots and Systems: New Horizon, IROS 2013
Country/Territory	Japan
City	Tokyo
Period	3/11/13 → 8/11/13

Access to Document

10.1109/IROS.2013.6696984

Cite this

Sheng, W., Ou, Y., Tran, D., Tadesse, E., Liu, M., & Yan, G. (2013). An integrated manual and autonomous driving framework based on driver drowsiness detection. In IROS 2013: New Horizon, Conference Digest - 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems (pp. 4376-4381). Article 6696984 (IEEE International Conference on Intelligent Robots and Systems). https://doi.org/10.1109/IROS.2013.6696984

@inproceedings{9a959d41780b4b57b79cc24cd0388e13,

title = "An integrated manual and autonomous driving framework based on driver drowsiness detection",

abstract = "In this paper, we propose and develop a framework for automatic switching of manual driving and autonomous driving based on driver drowsiness detection. We first present the scale-down intelligent transportation system (ITS) testbed. This testbed has four main parts: an arena; an indoor localization system; automated radio controlled (RC) cars; and roadside monitoring facilities. Second, we present the drowsiness detection algorithm which integrates facial expression and racing wheel motion to recognize driver drowsiness. Third, a manual and autonomous driving switching mechanism is developed, which is triggered by the detection of drowsiness. Finally, experiments were performed on the ITS testbed to demonstrate the effectiveness of the proposed framework.",

author = "Weihua Sheng and Yongsheng Ou and Duy Tran and Eyosiyas Tadesse and Meiqin Liu and Gangfeng Yan",

year = "2013",

doi = "10.1109/IROS.2013.6696984",

language = "英语",

isbn = "9781467363587",

series = "IEEE International Conference on Intelligent Robots and Systems",

pages = "4376--4381",

booktitle = "IROS 2013",

note = "2013 26th IEEE/RSJ International Conference on Intelligent Robots and Systems: New Horizon, IROS 2013 ; Conference date: 03-11-2013 Through 08-11-2013",

}

Sheng, W, Ou, Y, Tran, D, Tadesse, E, Liu, M & Yan, G 2013, An integrated manual and autonomous driving framework based on driver drowsiness detection. in IROS 2013: New Horizon, Conference Digest - 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems., 6696984, IEEE International Conference on Intelligent Robots and Systems, pp. 4376-4381, 2013 26th IEEE/RSJ International Conference on Intelligent Robots and Systems: New Horizon, IROS 2013, Tokyo, Japan, 3/11/13. https://doi.org/10.1109/IROS.2013.6696984

An integrated manual and autonomous driving framework based on driver drowsiness detection. / Sheng, Weihua; Ou, Yongsheng; Tran, Duy et al.
IROS 2013: New Horizon, Conference Digest - 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems. 2013. p. 4376-4381 6696984 (IEEE International Conference on Intelligent Robots and Systems).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - In this paper, we propose and develop a framework for automatic switching of manual driving and autonomous driving based on driver drowsiness detection. We first present the scale-down intelligent transportation system (ITS) testbed. This testbed has four main parts: an arena; an indoor localization system; automated radio controlled (RC) cars; and roadside monitoring facilities. Second, we present the drowsiness detection algorithm which integrates facial expression and racing wheel motion to recognize driver drowsiness. Third, a manual and autonomous driving switching mechanism is developed, which is triggered by the detection of drowsiness. Finally, experiments were performed on the ITS testbed to demonstrate the effectiveness of the proposed framework.

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Sheng W, Ou Y, Tran D, Tadesse E, Liu M, Yan G. An integrated manual and autonomous driving framework based on driver drowsiness detection. In IROS 2013: New Horizon, Conference Digest - 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems. 2013. p. 4376-4381. 6696984. (IEEE International Conference on Intelligent Robots and Systems). doi: 10.1109/IROS.2013.6696984

An integrated manual and autonomous driving framework based on driver drowsiness detection

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