Driver distraction detection based on vehicle dynamics using naturalistic driving data
Published 2022 View Full Article
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Title
Driver distraction detection based on vehicle dynamics using naturalistic driving data
Authors
Keywords
Phone use detection, Naturalistic driving, Bidirectional long short-term memory network, Attention mechanism, Vehicle dynamics
Journal
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
Volume 136, Issue -, Pages 103561
Publisher
Elsevier BV
Online
2022-01-25
DOI
10.1016/j.trc.2022.103561
References
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Related references
Note: Only part of the references are listed.- Online distraction detection for naturalistic driving dataset using kinematic motion models and a multiple model algorithm
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- Brain-inspired Cognitive Model with Attention for Self-Driving Cars
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- Distracted Driving and Risk of Road Crashes among Novice and Experienced Drivers
- (2014) Sheila G. Klauer et al. NEW ENGLAND JOURNAL OF MEDICINE
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- (2013) Fabio Tango et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- A hybrid Bayesian Network approach to detect driver cognitive distraction
- (2013) Yulan Liang et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Online Driver Distraction Detection Using Long Short-Term Memory
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- Combining Long Short-Term Memory and Dynamic Bayesian Networks for Incremental Emotion-Sensitive Artificial Listening
- (2010) Martin Wollmer et al. IEEE Journal of Selected Topics in Signal Processing
- Model-Based Analysis and Classification of Driver Distraction Under Secondary Tasks
- (2010) Tulga Ersal et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
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