A Deep Learning Framework for Driving Behavior Identification on In-Vehicle CAN-BUS Sensor Data

Human driving behaviors are personalized and unique, and the automobile fingerprint of drivers could be helpful to automatically identify different driving behaviors and further be applied in fields such as auto-theft systems. Current research suggests that in-vehicle Controller Area Network-BUS (CA...

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Detalles Bibliográficos
Autores principales: Zhang, Jun, Wu, ZhongCheng, Li, Fang, Xie, Chengjun, Ren, Tingting, Chen, Jie, Liu, Liu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6471704/
https://www.ncbi.nlm.nih.gov/pubmed/30889917
http://dx.doi.org/10.3390/s19061356

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6471704/
https://www.ncbi.nlm.nih.gov/pubmed/30889917
http://dx.doi.org/10.3390/s19061356

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