Improving emergency vehicles’ response times with the use of Augmented Reality and Artificial Intelligence

K.F. Bram-Larbi; V. Charissis; S. Khan; D.K. Harrison; D. Drikakis

doi:10.1007/978-3-030-59987-4_3

Improving emergency vehicles’ response times with the use of Augmented Reality and Artificial Intelligence

K.F. Bram-Larbi, V. Charissis^*, S. Khan, D.K. Harrison, D. Drikakis

^*Corresponding author for this work

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

5 Citations (Scopus)

510 Downloads (Pure)

Abstract

The rapid mobilization of Emergency Services (ES) could be particularly challenging for ES drivers and staff that have to navigate and manoeuvre through various traffic and weather conditions. Driving, in high speeds through dense traffic is a particularly demanding psychomotor task for the ES drivers and could result in collisions and even fatalities. Current attempts to support the driver and reduce the potential driving hazards had limited success. The paper presents the design rationale of a prototype system that utilises Augmented Reality (AR) in the form of a Head-Up Display (HUD) to superimpose guidance information in the real-life environment. The paper will discuss also the requirements for an Artificial Intelligence (AI) system that could analyse the driving conditions and present the best manoeuvring options whilst maintain the road users’ safety. Finally, the paper presents the requirements’ framework for the development of the proposed AR/AI system based on the feedback and suggestions of ten ES drivers. Their feedback will be presented and discussed in detail as it provided essential insight into the everyday challenges of ES operations.

Original language	English
Pages (from-to)	24-39
Number of pages	16
Journal	Lecture Notes in Computer Science
Volume	12429
DOIs	https://doi.org/10.1007/978-3-030-59987-4_3
Publication status	Published - 4 Nov 2020
Event	22nd International Conference on Human-Computer Interaction - Online Duration: 19 Jul 2020 → 24 Jul 2020 https://2020.hci.international/ (Link to conference website)

Keywords

augmented reality
emergency services
artificial intelligence
collision avoidance
head-up display
smart cities
simulation
Emergency Services
Smart cities
Artificial Intelligence
Augmented Reality
Simulation
Head-up display
Collision avoidance

ASJC Scopus subject areas

Human-Computer Interaction
Artificial Intelligence
Information Systems
Automotive Engineering
Computer Graphics and Computer-Aided Design
Theoretical Computer Science
General Computer Science

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Documents and Links

10.1007/978-3-030-59987-4_3

Bram-Larbi, K.F. et al (2020) Improving emergency vehicles’ response times with the use of Augmented Reality and Artificial Intelligence
This is a post-peer-review, pre-copyedit version of an article accepted for publication in Lecture Notes in Computer Science. The final authenticated version ise available online at: https://doi.org/10.1007/978-3-030-59987-4_3
Author accepted manuscript, 621 KB

5 Citations
7 Conference contribution
2 Article
1 Review article

How users experience autonomous vehicle driving: provision of information through AR HUD
Charissis, V., 16 Dec 2022, Proceedings of the International Display Workshops. International Display Workshops, Vol. 29. p. 1004-1007 4 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Open Access
File
66 Downloads (Pure)
AR guidance system for traffic circumvention and collision avoidance: emergency services case study
Bram-Larbi, K. F., Charissis, V., Khan, S., Lagoo, R., Drikakis, D. & Harrison, D. K., 13 May 2021, 2021 IEEE International Conference on Consumer Electronics (ICCE). IEEE, 6 p. 9427708. (Proceedings of ... IEEE International Symposium on Consumer Electronics).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Open Access
File
2 Citations (Scopus)

261 Downloads (Pure)
Design principles and user experience of automotive head-up display development
Charissis, V., Bram Larbi, K. F., Lagoo, R., Wang, S. & Khan, S., 2 Dec 2021, Proceedings of The 28th International Display Workshops. International Display Workshops, Vol. 28. p. 662-665 4 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Cite this

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title = "Improving emergency vehicles{\textquoteright} response times with the use of Augmented Reality and Artificial Intelligence",

abstract = "The rapid mobilization of Emergency Services (ES) could be particularly challenging for ES drivers and staff that have to navigate and manoeuvre through various traffic and weather conditions. Driving, in high speeds through dense traffic is a particularly demanding psychomotor task for the ES drivers and could result in collisions and even fatalities. Current attempts to support the driver and reduce the potential driving hazards had limited success. The paper presents the design rationale of a prototype system that utilises Augmented Reality (AR) in the form of a Head-Up Display (HUD) to superimpose guidance information in the real-life environment. The paper will discuss also the requirements for an Artificial Intelligence (AI) system that could analyse the driving conditions and present the best manoeuvring options whilst maintain the road users{\textquoteright} safety. Finally, the paper presents the requirements{\textquoteright} framework for the development of the proposed AR/AI system based on the feedback and suggestions of ten ES drivers. Their feedback will be presented and discussed in detail as it provided essential insight into the everyday challenges of ES operations.",

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author = "K.F. Bram-Larbi and V. Charissis and S. Khan and D.K. Harrison and D. Drikakis",

note = "Acceptance in SAN AAM: no embargo Changed from initial template of conf proc (PURE ID: 40409142); advised author 27/07/20 DC [no change at 2/11/20, NYP ET] See publisher webpage for full citation and ISBN details (treated as journal article for Pure and OA purposes but also part of a book series). ET 18/11/20 ; 22nd International Conference on Human-Computer Interaction, HCI International 2020 ; Conference date: 19-07-2020 Through 24-07-2020",

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KW - emergency services

KW - artificial intelligence

KW - collision avoidance

KW - head-up display

KW - smart cities

KW - simulation

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KW - Smart cities

KW - Artificial Intelligence

KW - Augmented Reality

KW - Simulation

KW - Head-up display

KW - Collision avoidance

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M3 - Article

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JF - Lecture Notes in Computer Science

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ER -

Improving emergency vehicles’ response times with the use of Augmented Reality and Artificial Intelligence

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

Documents and Links

Fingerprint

Research output

How users experience autonomous vehicle driving: provision of information through AR HUD

AR guidance system for traffic circumvention and collision avoidance: emergency services case study

Design principles and user experience of automotive head-up display development

Cite this