A Novel Big-data-based Estimation Method of Side-slip Angles for Autonomous Road Vehicles

Dániel Fényes, Balázs Németh, Péter Gáspár

2018

Abstract

In the paper a novel side-slip estimation algorithm, which is based on big data approaches, is proposed. The idea of the estimation is based on the availability of a large amount of information of the autonomous vehicles, e.g. yaw-rate, accelerations and steering angles. The significant number of signals are processed through big data approaches to generate a simplified rule for the side-slip estimation using the onboard signals of the vehicles. Thus, a subset selection method for time-domain signals is proposed, by which the attributes are selected based on their relevance. Furthermore, a linear regression using the Ordinary Least Squares (OLS) method is applied to derive a relationship between the attributes and the estimated signal. The efficiency of the estimation is presented through several CarSim simulation examples, while the WEKA data-mining software is used for the OLS method.

Download


Paper Citation


in Harvard Style

Fényes D., Németh B. and Gáspár P. (2018). A Novel Big-data-based Estimation Method of Side-slip Angles for Autonomous Road Vehicles.In Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-758-321-6, pages 420-426. DOI: 10.5220/0006849504200426


in Bibtex Style

@conference{icinco18,
author={Dániel Fényes and Balázs Németh and Péter Gáspár},
title={A Novel Big-data-based Estimation Method of Side-slip Angles for Autonomous Road Vehicles},
booktitle={Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2018},
pages={420-426},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006849504200426},
isbn={978-989-758-321-6},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - A Novel Big-data-based Estimation Method of Side-slip Angles for Autonomous Road Vehicles
SN - 978-989-758-321-6
AU - Fényes D.
AU - Németh B.
AU - Gáspár P.
PY - 2018
SP - 420
EP - 426
DO - 10.5220/0006849504200426