An Assistance System for Collision Avoidance Using Context-Sensitive Prediction

David Sanders, Malik Haddad, Giles Tewkesbury, Shikon Zhou, Alexander Gegov

2022

Abstract

An alert and collision avoidance system is introduced. A new method has been used to calculate a closest point of approach, incorporating a context-sensitive prediction. Movement and routing information were used and an approach for taking evasive action is described. When a potential collision was detected, then an estimation was made of the direction of movement and an evasive manoeuvre was selected. A closest point of approach was calculated between the wheelchair and any object detected in its vicinity. A linear motion vector was calculated based on current speed, position and direction and that vector was compared with the object position.

Paper Citation

in Harvard Style

Sanders D., Haddad M., Tewkesbury G., Zhou S. and Gegov A. (2022). An Assistance System for Collision Avoidance Using Context-Sensitive Prediction. In Proceedings of the 3rd International Symposium on Automation, Information and Computing - Volume 1: ISAIC; ISBN 978-989-758-622-4, SciTePress, pages 98-103. DOI: 10.5220/0011903800003612

in Bibtex Style

@conference{isaic22,
author={David Sanders and Malik Haddad and Giles Tewkesbury and Shikon Zhou and Alexander Gegov},
title={An Assistance System for Collision Avoidance Using Context-Sensitive Prediction},
booktitle={Proceedings of the 3rd International Symposium on Automation, Information and Computing - Volume 1: ISAIC},
year={2022},
pages={98-103},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011903800003612},
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 - An Assistance System for Collision Avoidance Using Context-Sensitive Prediction
SN - 978-989-758-622-4
AU - Sanders D.
AU - Haddad M.
AU - Tewkesbury G.
AU - Zhou S.
AU - Gegov A.
PY - 2022
SP - 98
EP - 103
DO - 10.5220/0011903800003612
PB - SciTePress