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

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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Bibliographic Details
Main Authors: Jun Zhang, ZhongCheng Wu, Fang Li, Chengjun Xie, Tingting Ren, Jie Chen, Liu Liu
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Sensors
Subjects:
driving behavior identification
deep learning
attention mechanism
CNN
LSTM
GRU
Online Access:http://www.mdpi.com/1424-8220/19/6/1356

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http://www.mdpi.com/1424-8220/19/6/1356

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