Real-Time Driving Behavior Identification Based on Multi-Source Data Fusion

Real-time driving behavior identification has a wide range of applications in monitoring driver states and predicting driving risks. In contrast to the traditional approaches that were mostly based on a single data source with poor identification capabilities, this paper innovatively integrates driv...

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Detalles Bibliográficos
Autores principales: Ma, Yongfeng, Xie, Zhuopeng, Chen, Shuyan, Wu, Ying, Qiao, Fengxiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8750820/
https://www.ncbi.nlm.nih.gov/pubmed/35010606
http://dx.doi.org/10.3390/ijerph19010348

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8750820/
https://www.ncbi.nlm.nih.gov/pubmed/35010606
http://dx.doi.org/10.3390/ijerph19010348

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