| Home | KSAE | E-Submission | Sitemap | Contact Us |  
top_img
International Journal of Automotive Technology > Volume 17(1); 2016 > Article
Intelligent Vehicle / Transportation Systems
International Journal of Automotive Technology 2016;17(1): 165-173.
doi: https://doi.org/10.1007/s12239-016-0016-y
DROWSY BEHAVIOR DETECTION BASED ON DRIVING INFORMATION
M. S. WANG1, N. T. JEONG1, K. S. KIM2, S. B. CHOI3, S. M. YANG1, S. H. YOU1, J. H. LEE4, M. W. SUH1
1Sungkyunkwan University
2Sungkyunkwang University
3Sungkyunkwan Univ.
4Osan University
ABSTRACT
Drowsy behavior is more likely to occur in sleep-deprived drivers. Individuals
Key Words: Drowsy behavior, Acceleration, Steering angle, Random forest, Ensemble machine learning method, Vehicle safety
TOOLS
Preview  Preview
Full text via DOI  Full text via DOI
Download Citation  Download Citation
  Print
Share:      
METRICS
44
Scopus
1,488
View
9
Download
Related articles
CONTROL STRATEGY FOR SHIFT SCHEDULE CORRECTION BASED ON DRIVING HABITS FOR VEHICLES WITH AUTOMATIC TRANSMISSION  2020 April;21(2)
SHEET METAL FORMING SIMULATION CONSIDERING DIE DEFORMATION  2013 December;14(6)
PROPER PD STEERING ASSISTANCE CONSTANT BASED ON THE DRIVING SITUATION  2011 August;12(4)
ROBUST LANE MARKINGS DETECTION AND ROAD GEOMETRY COMPUTATION  2010 June;11(3)
Editorial Office
21 Teheran-ro 52-gil, Gangnam-gu, Seoul 06212, Korea
TEL: +82-2-564-3971   FAX: +82-2-564-3973   E-mail: manage@ksae.org
About |  Browse Articles |  Current Issue |  For Authors and Reviewers
Copyright © The Korean Society of Automotive Engineers.                 Developed in M2PI
Close layer
prev next