A Privacy-Preserving Learning Method for Analyzing HEV Driver’s Driving Behaviors
Author:
Affiliation:
1. Department of Electrical Engineering, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan
2. Department of Information Management, National University of Kaohsiung, Kaohsiung, Taiwan
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10188845.pdf?arnumber=10188845
Reference38 articles.
1. Driver behaviour detection using 1D convolutional neural networks
2. Vehicular Trajectory Big Data: Driving Behavior Recognition Algorithm Based on Deep Learning
3. Driving Behavior Clustering for Hazardous Material Transportation Based on Genetic Fuzzy C-Means Algorithm
4. Constructing of an incremental deep learning model for analysis of the driving mode of a hybird electric vehicle;hung,2018
5. Online distraction detection for naturalistic driving dataset using kinematic motion models and a multiple model algorithm
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