Global Estimation for the Convoy of Autonomous Vehicles using the Sliding-mode Approach

M-Mahmoud Mohamed-Ahmed, Aziz Naamane, Nacer M’sirdi

2020

Abstract

In this paper, a global estimation approach is proposed to estimate the states of motion (longitudinal, lateral and yaw angle) of a convoy of autonomous vehicles, which is composed of four cars and also the inter-distance between each two neighboring vehicles. The approach used is based on the first-order sliding mode (FOSM) and second-order sliding mode (SOSM) observer without and with linear gain (FOSML and SOSML), to estimate and compare at the same time the estimation approach used for each vehicle in convoy. To validate this approach, we use data from SCANeRTM-Studio of a convoy moving in a defined trajectory. The robustness of the observers towards estimation errors on the model parameters will be studied.

Paper Citation

in Harvard Style

Mohamed-Ahmed M., Naamane A. and M’sirdi N. (2020). Global Estimation for the Convoy of Autonomous Vehicles using the Sliding-mode Approach.In Proceedings of the 17th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-758-442-8, pages 284-293. DOI: 10.5220/0009805702840293

in Bibtex Style

@conference{icinco20,
author={M-Mahmoud Mohamed-Ahmed and Aziz Naamane and Nacer M’sirdi},
title={Global Estimation for the Convoy of Autonomous Vehicles using the Sliding-mode Approach},
booktitle={Proceedings of the 17th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2020},
pages={284-293},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009805702840293},
isbn={978-989-758-442-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Global Estimation for the Convoy of Autonomous Vehicles using the Sliding-mode Approach
SN - 978-989-758-442-8
AU - Mohamed-Ahmed M.
AU - Naamane A.
AU - M’sirdi N.
PY - 2020
SP - 284
EP - 293
DO - 10.5220/0009805702840293