Passive and Active Learning of Driver Behavior from Electric Vehicles. (arXiv:2203.02179v1 [cs.LG])

Modeling driver behavior provides several advantages in the automotive
industry, including prediction of electric vehicle energy consumption. Studies
have shown that aggressive driving can consume up to 30% more energy than
moderate driving, in certain driving scenarios. Machine learning methods are
widely used for driver behavior classification, which, however, may yield some
challenges such as sequence modeling on long time windows and lack of labeled
data due to expensive annotation. To address the first challenge, passive
learning of driver behavior, …

active learning arxiv driver electric vehicles learning