Voter based control for situation awareness and obstacle avoidance

David Sanders; Giles Tewkesbury; Shikun Zhou; Malik Haddad; Sergey Andreyevich Khaustov

Voter based control for situation awareness and obstacle avoidance

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

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Journal	Journal of Physics: Conference Series
Publication status	Accepted for publication - 1 Nov 2021
Event	2nd International Symposium on Automation, Information and Computing 2021 - China, Beijing , China Duration: 3 Dec 2021 → 6 Dec 2021 https://www.isaic-conf.com/#/

Embargoed Document

Voter based control AAM
Accepted author manuscript (Post-print), 533 KB
Licence: CC BY-NC-ND
Due to publisher’s copyright restrictions, this document is not freely available to download from this website until: 1/01/50

1 Active

Using artificial intelligence to share control of a powered-wheelchair between a wheelchair user and an intelligent sensor system
Sanders, D., Gegov, A. & Haddad, M.
Engineering and Physical Sciences Research Council
1/11/18 → 1/11/22
Project: Research

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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.",

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AU - Tewkesbury, Giles

AU - Zhou, Shikun

AU - Haddad, Malik

AU - Khaustov, Sergey Andreyevich

N1 - 12 month embargo - IOP Publishing This Accepted Manuscript is available for reuse under a CC BY-NC-ND licence after the 12 month embargo period provided that all the terms and conditions of the licence are adhered to.

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N2 - 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.

AB - 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.

UR - https://www.isaic-conf.com/#/

M3 - Article

JO - Journal of Physics: Conference Series

JF - Journal of Physics: Conference Series

SN - 1742-6588

T2 - 2nd International Symposium on Automation, Information and Computing 2021

Y2 - 3 December 2021 through 6 December 2021

ER -

Voter based control for situation awareness and obstacle avoidance

Abstract

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Using artificial intelligence to share control of a powered-wheelchair between a wheelchair user and an intelligent sensor system

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