Lightweight Driver Behavior Identification Model with Sparse Learning on In-Vehicle CAN-BUS Sensor Data

This study focuses on driver-behavior identification and its application to finding embedded solutions in a connected car environment. We present a lightweight, end-to-end deep-learning framework for performing driver-behavior identification using in-vehicle controller area network (CAN-BUS) sensor...

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Bibliographic Details
Published in:Sensors
Main Authors: Shan Ullah, Deok-Hwan Kim
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Subjects:
driver-behavior identification
deep learning
Jetson Xavier
network pruning
sparse learning
convolutional neural network (CNN)
Online Access:https://www.mdpi.com/1424-8220/20/18/5030

Internet

https://www.mdpi.com/1424-8220/20/18/5030

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