Publication
Online driver behavior classification using probabilistic ARX models
This paper shows how a probabilistic ARX model can be used to predict the driver's steering behavior and classify the current driving style, based on measurements from the vehicle sensors. An algorithm, online classifying the driving style and predicting the steering behavior, is designed and validated on data recorded on a test track. The algorithm is designed to distinguish between two driving styles corresponding to normal and aggressive driving.
Research area
Systems for Accident Prevention and AD
Publication type
Conference paper
Published in
16th International IEEE Conference on Intelligent Transportation Systems, October 2013, The Hague
Project
Non-hit car & truck (associated project)
Project
Year of publication
2013