Defect-Repairable Latent Feature Extraction of Driving Behavior via a Deep Sparse Autoencoder.

Data representing driving behavior, as measured by various sensors installed in a vehicle, are collected as multi-dimensional sensor time-series data. These data often include redundant information, e.g.