A deep neural framework for real-time vehicular accident detection based on motion temporal templates

Vehicular accident prediction and detection has recently garnered curiosity and large amounts of attention in machine learning applications and related areas, due to its peculiar and fascinating application potentials in the development of Intelligent Transportation Systems (ITS) that play a pivotal...

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Detalles Bibliográficos
Autores principales: Bakheet, Samy, Al-Hamadi, Ayoub
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9647364/
https://www.ncbi.nlm.nih.gov/pubmed/36387580
http://dx.doi.org/10.1016/j.heliyon.2022.e11397

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9647364/
https://www.ncbi.nlm.nih.gov/pubmed/36387580
http://dx.doi.org/10.1016/j.heliyon.2022.e11397

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