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Abstract

This paper disseminates the use of a coupled 1D simulation-estimation framework employed for multi-actuated ground vehicle tyre force virtual sensing. The forces generated in the tyre contact patches govern the vehicle motion and behaviour on the road. Therefore, they are highly relevant for Advanced Driver Assistance Systems (ADAS) and Automated Driving (AD) technologies, especially when it comes to ensuring vehicle stability and driving safety in extreme manoeuvres. However, some ADAS and AD features require accurate and robust estimation of additional vehicle dynamics related quantities. Thus, this paper proposes a framework for the consistent use of 1D vehicle models of different complexity together with state-of-the-art estimation techniques to enable joint state, disturbance, parameter (SDP) estimation. ispartof: 2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE) proceedings ispartof: 2019 IEEE International Conference on Connected Vehicles and Expo (ICCVE) location:Graz, Austria date:4 Nov - 8 Nov 2019 status: Published online


Original document

The different versions of the original document can be found in:

http://dx.doi.org/10.1109/iccve45908.2019.8965229
https://academic.microsoft.com/#/detail/3001156108
http://dx.doi.org/10.5281/zenodo.3381852 under the license http://creativecommons.org/licenses/by/4.0/legalcode
http://dx.doi.org/10.5281/zenodo.3381853 under the license http://creativecommons.org/licenses/by/4.0/legalcode


DOIS: 10.5281/zenodo.3381853 10.5281/zenodo.3381852 10.1109/iccve45908.2019.8965229

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Published on 01/01/2019

Volume 2019, 2019
DOI: 10.5281/zenodo.3381853
Licence: Other

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