Evaluation of 1D and 2D Deep Convolutional Neural Networks for Driving Event Recognition

Driving event detection and driver behavior recognition have been widely explored for many purposes, including detecting distractions, classifying driver actions, detecting kidnappings, pricing vehicle insurance, evaluating eco-driving, and managing shared and leased vehicles. Some systems can recog...

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Detalles Bibliográficos
Autores principales: Escottá, Álvaro Teixeira, Beccaro, Wesley, Ramírez, Miguel Arjona
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9185469/
https://www.ncbi.nlm.nih.gov/pubmed/35684848
http://dx.doi.org/10.3390/s22114226

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9185469/
https://www.ncbi.nlm.nih.gov/pubmed/35684848
http://dx.doi.org/10.3390/s22114226

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