Computer vision and statistical insights into cycling near miss dynamics

Ibrahim, M. orcid.org/0000-0001-7733-7777 (2024) Computer vision and statistical insights into cycling near miss dynamics. Scientific Reports, 14. 21151. ISSN 2045-2322

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Item Type: Article
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© The Author(s) 2024. This is an open access article under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.

Keywords: Computer vision, Deep learning, Cycling near misses, Granger causality
Dates:
  • Published: 10 September 2024
  • Published (online): 10 September 2024
  • Accepted: 20 August 2024
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) > Centre for Spatial Analysis & Policy (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 29 Oct 2024 10:08
Last Modified: 04 Dec 2024 14:53
Status: Published
Publisher: Nature Research
Identification Number: 10.1038/s41598-024-70733-8
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