Data-Driven Analysis of Driving Patterns via Vehicle Telemetry for Enhanced ADAS Decision-Making
The paper introduces a sophisticated deep learning method to drive behavior classification with sequential sensor signals that surpasses all competitors in terms of classification accuracy and, more importantly, in terms of detecting patterns over time and achieving an optimal mix of recall and accuracy for all types o...