Voter Based Control for Situation Awareness and Obstacle Avoidance

David Sanders, Giles Tewkesbury, Malik Haddad, Shikun Zhou, Sergey Khaustov

2022

Abstract

Situational awareness and obstacle avoidance for a powered wheelchair are considered. A voter-based control system uses the results from a path planner, sensors and image processing algorithms. A route planning system utilizes interval analysis, and image processing algorithms are used for obstacle detection. Voter based control is adapted from their results.

Paper Citation

in Harvard Style

Sanders D., Tewkesbury G., Haddad M., Zhou S. and Khaustov S. (2022). Voter Based Control for Situation Awareness and Obstacle Avoidance. In Proceedings of the 3rd International Symposium on Automation, Information and Computing - Volume 1: ISAIC; ISBN 978-989-758-622-4, SciTePress, pages 104-109. DOI: 10.5220/0011903900003612

in Bibtex Style

@conference{isaic22,
author={David Sanders and Giles Tewkesbury and Malik Haddad and Shikun Zhou and Sergey Khaustov},
title={Voter Based Control for Situation Awareness and Obstacle Avoidance},
booktitle={Proceedings of the 3rd International Symposium on Automation, Information and Computing - Volume 1: ISAIC},
year={2022},
pages={104-109},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011903900003612},
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 - Voter Based Control for Situation Awareness and Obstacle Avoidance
SN - 978-989-758-622-4
AU - Sanders D.
AU - Tewkesbury G.
AU - Haddad M.
AU - Zhou S.
AU - Khaustov S.
PY - 2022
SP - 104
EP - 109
DO - 10.5220/0011903900003612
PB - SciTePress