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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...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2019
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| Materias: | |
| 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 |