An assistance system for collision avoidance using context-sensitive prediction

David Sanders; Giles Tewkesbury; Malik Haddad; Shikun Zhou; Alexander Gegov

An assistance system for collision avoidance using context-sensitive prediction

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

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

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.

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

An assistance system AAM
Accepted author manuscript (Post-print), 493 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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AU - Haddad, Malik

AU - Zhou, Shikun

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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 - 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.

AB - 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.

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JF - Journal of Physics: Conference Series

SN - 1742-6588

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

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ER -

An assistance system for collision avoidance using context-sensitive prediction

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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