Synthetic Distracted Driving (SynDD1) Dataset
Published: 19 April 2022| Version 2 | DOI: 10.17632/ptcp7rp3wb.2
Contributors:
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Description
Synthetic dataset for machine learning models to detect and analyze drivers' various distracted behavior and different gaze zones.
Files
Institutions
Iowa State University
Categories
Data Science
AM Process Data Template
Additive Manufacturing Process | na |
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Process Date | 2022-01-20T00:00:00.000Z |
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Software
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Type | Public Domain |
Contact link | shaiqur@iastate.edu |
Publications
Sample ID | na |
Publication Title | Drivers Gaze and Distracted Behavior- Dataset |
Citation | na |
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Sample ID | na |
Date | 2022-01-06T00:00:00.000Z |
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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. |
Funder | U.S. Department of Transportation |
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