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Driver Anomaly Quantification for Intelligent Vehicles: A Contrastive Learning Approach With Representation Clustering.

Zhongxu HuYang XingWeihao GuDongpu CaoChen Lv
Published in: IEEE Trans. Intell. Veh. (2023)
Keyphrases
  • intelligent vehicles
  • unsupervised learning
  • anomaly detection
  • real time
  • learning algorithm
  • clustering algorithm
  • object recognition
  • k means
  • active learning
  • supervised learning
  • machine learning