Online driver behavior classification using probabilistic ARX models
Paper in proceeding, 2013

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.

driver identification

active safety

Author

Malin Sundbom

Chalmers, Signals and Systems, Systems and control

Paolo Falcone

Chalmers, Signals and Systems, Systems and control

Jonas Sjöberg

Chalmers, Signals and Systems, Systems and control

16th International IEEE Conference on Intelligent Transportation Systems, October 2013, The Hague, The Netherlands

1107-1112
978-147992914-6 (ISBN)

Areas of Advance

Transport

Subject Categories

Control Engineering

DOI

10.1109/ITSC.2013.6728380

ISBN

978-147992914-6

More information

Created

10/7/2017