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Driver Anomaly Quantification for Intelligent Vehicles: A Contrastive Learning Approach With Representation Clustering.
Zhongxu Hu
Yang Xing
Weihao Gu
Dongpu Cao
Chen Lv
Published in:
IEEE Trans. Intell. Veh. (2023)
Keyphrases
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intelligent vehicles
unsupervised learning
anomaly detection
real time
learning algorithm
clustering algorithm
object recognition
k means
active learning
supervised learning
machine learning