Model-Based Prediction for Navigation Assistance Using a Set of Sensors

David Sanders, Giles Tewkesbury, Shikun Zhou, Malik Haddad

2022

Abstract

Navigation assistance is a vital step towards higher level automation and intelligence. This paper presents a new conceptual design for an assistive system. It helps to manoeuvre powered wheelchairs in challenging situations so that more people can drive them. The method is based on dynamic motion prediction using sensors to provide information about the surroundings. Generic components of the assistive system are presented based on manoeuvre prediction. Wheelchair user behaviour was analysed while they were driving their wheelchairs. Other aspects are discussed, including the precision of the models built upon actuator and environmental data collected from a strategically selected set of sensors.

Paper Citation

in Harvard Style

Sanders D., Tewkesbury G., Zhou S. and Haddad M. (2022). Model-Based Prediction for Navigation Assistance Using a Set of Sensors. In Proceedings of the 3rd International Symposium on Automation, Information and Computing - Volume 1: ISAIC; ISBN 978-989-758-622-4, SciTePress, pages 92-97. DOI: 10.5220/0011903500003612

in Bibtex Style

@conference{isaic22,
author={David Sanders and Giles Tewkesbury and Shikun Zhou and Malik Haddad},
title={Model-Based Prediction for Navigation Assistance Using a Set of Sensors},
booktitle={Proceedings of the 3rd International Symposium on Automation, Information and Computing - Volume 1: ISAIC},
year={2022},
pages={92-97},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011903500003612},
isbn={978-989-758-622-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Symposium on Automation, Information and Computing - Volume 1: ISAIC
TI - Model-Based Prediction for Navigation Assistance Using a Set of Sensors
SN - 978-989-758-622-4
AU - Sanders D.
AU - Tewkesbury G.
AU - Zhou S.
AU - Haddad M.
PY - 2022
SP - 92
EP - 97
DO - 10.5220/0011903500003612
PB - SciTePress