Synthetic Distracted Driving (SynDD1) Dataset
Published: 2 November 2022| Version 4 | DOI: 10.17632/ptcp7rp3wb.4
Contributors:
, , Description
Synthetic dataset for machine learning models to detect and analyze drivers' various distracted behavior and different gaze zones.
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Institutions
Iowa State University
Categories
Data Science
Funding
U.S. Department of Transportation
Computational Modelling
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Patents
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AM Sample Data Template
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| Date | 2022-01-06T00:00:00.000Z |
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AM Process Data Template
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| Process Date | 2022-01-20T00:00:00.000Z |
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Research Process Flow
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Software
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| Type | Public Domain |
| Contact link | shaiqur@iastate.edu, anujs@iastate.edu |
Publications
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| Publication Title | Drivers Gaze and Distracted Behavior- Dataset |
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MURI/AUSMURI University
| User Name | Mohammed Shaiqur Rahman |
| shaiqur@iastate.edu | |
| University | Iowa State University |
| Address | 4733 Toronto Street |
| Acknowledgement | Our research results are based upon work supported by the U.S. Department of Transportation Exploratory Advanced Research Program under Award No. 693JJ31950022. Any opinions, findings, conclusions, or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the U.S. Department of Transportation. |
Hardware
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Ex-situ Characterization Data Template
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In-situ Characterization Data Template
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