Intelligent collision avoidance and manoeuvring system with the use of augmented reality and artificial intelligence

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

doi:10.1007/978-3-030-73100-7_32

Intelligent collision avoidance and manoeuvring system with the use of augmented reality and artificial intelligence

K.F. Bram-Larbi
, V. Charissis
, S. Khan
, R. Lagoo
, D.K. Harrison
, D. Drikakis

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

182 Downloads (Pure)

Abstract

The efficiency of collision-avoidance abrupt braking or manoeuvring is primarily based on a driver’s response time. The latter is affected by the driver’s spatial and situational awareness, which in turn is heavily depended on the driver’s cognitive workload. Attention taxing, infotainment systems could dramatically reduce the driver’s ability to respond effectively in an imminent collision situation . Current attempts to reduce this negative impact on driver’s performance had limited success. To improve the driver’s ability to perform a successful collision avoidance braking or manoeuvring, this paper presents the design considerations of a prototype system that employs Augmented Reality (AR) to overlay guidance information in the real-life environment. The proposed system will be further supported by an Artificial Intelligence (AI) system that will act as a co-driver, offering in real-time alternative options to the driver. Prior work for the development of a similar system for Emergency Services’ (ES) vehicles sparked the idea to transfer and investigate the acceptance of this technology on a civilian vehicle domain. In conclusion, the paper presents the preliminary design for the development of the civilian version of the AR/AI system based on the feedback and suggestions of 20 drivers.

Original language	English
Title of host publication	Advances in Information and Communication - Proceedings of the 2021 Future of Information and Communication Conference, FICC
Subtitle of host publication	Proceedings of the 2021 Future of Information and Communication Conference (FICC)
Editors	Kohei Arai
Publisher	Springer Nature
Pages	457-469
Number of pages	13
Volume	1
ISBN (Electronic)	9783030731007
ISBN (Print)	9783030730994
DOIs	https://doi.org/10.1007/978-3-030-73100-7_32
Publication status	Published - 30 Apr 2021
Event	Future of Information and Communications Conference 2021 - Canada, Vancouver, Canada Duration: 29 Apr 2021 → 30 Apr 2021 https://saiconference.com/Conferences/FICC2021

Publication series

Name	Advances in Intelligent Systems and Computing
Publisher	Springer Nature
Volume	1363
ISSN (Print)	2194-5357

Conference

Conference	Future of Information and Communications Conference 2021
Abbreviated title	FICC 2021
Country/Territory	Canada
City	Vancouver
Period	29/04/21 → 30/04/21
Internet address	https://saiconference.com/Conferences/FICC2021

UN SDGs

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

SDG 11 Sustainable Cities and Communities

Keywords

augmented reality
intelligent transportation systems
artificial intelligence
collision avoidance
head-up display
smart cities
simulation
human computer interaction
Intelligent transportation
AI
HCI

ASJC Scopus subject areas

Artificial Intelligence
Human Factors and Ergonomics
Human-Computer Interaction
Computer Vision and Pattern Recognition
Transportation
Automotive Engineering
Computer Science Applications
Safety Research
Control and Systems Engineering
General Computer Science

Documents and Links

10.1007/978-3-030-73100-7_32

Bram-Larbi, K. F. et al (2020) Intelligent collision avoidance and manoeuvring system with the use of augmented reality and artificial intelligence
This is a post-peer-review, pre-copyedit version of an article published in Advances in Information and Communication: Proceedings of the 2021 Future of Information and Communication Conference (FICC), Volume 1. The final authenticated version is available online at: https://doi.org/10.1007/978-3-030-73100-7_32
Author accepted manuscript, 528 KB

2 Citations
8 Conference contribution
3 Article
1 Chapter (peer-reviewed)
1 Abstract
More
- 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
1 Citation (Scopus)

148 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
3 Citations (Scopus)

347 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

Bram-Larbi, K. F., Charissis, V., Khan, S., Lagoo, R., Harrison, D. K., & Drikakis, D. (2021). Intelligent collision avoidance and manoeuvring system with the use of augmented reality and artificial intelligence. In K. Arai (Ed.), Advances in Information and Communication - Proceedings of the 2021 Future of Information and Communication Conference, FICC: Proceedings of the 2021 Future of Information and Communication Conference (FICC) (Vol. 1, pp. 457-469). (Advances in Intelligent Systems and Computing; Vol. 1363). Springer Nature. https://doi.org/10.1007/978-3-030-73100-7_32

Bram-Larbi, K.F. ; Charissis, V. ; Khan, S. et al. / Intelligent collision avoidance and manoeuvring system with the use of augmented reality and artificial intelligence. Advances in Information and Communication - Proceedings of the 2021 Future of Information and Communication Conference, FICC: Proceedings of the 2021 Future of Information and Communication Conference (FICC). editor / Kohei Arai. Vol. 1 Springer Nature, 2021. pp. 457-469 (Advances in Intelligent Systems and Computing).

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title = "Intelligent collision avoidance and manoeuvring system with the use of augmented reality and artificial intelligence",

abstract = "The efficiency of collision-avoidance abrupt braking or manoeuvring is primarily based on a driver{\textquoteright}s response time. The latter is affected by the driver{\textquoteright}s spatial and situational awareness, which in turn is heavily depended on the driver{\textquoteright}s cognitive workload. Attention taxing, infotainment systems could dramatically reduce the driver{\textquoteright}s ability to respond effectively in an imminent collision situation . Current attempts to reduce this negative impact on driver{\textquoteright}s performance had limited success. To improve the driver{\textquoteright}s ability to perform a successful collision avoidance braking or manoeuvring, this paper presents the design considerations of a prototype system that employs Augmented Reality (AR) to overlay guidance information in the real-life environment. The proposed system will be further supported by an Artificial Intelligence (AI) system that will act as a co-driver, offering in real-time alternative options to the driver. Prior work for the development of a similar system for Emergency Services{\textquoteright} (ES) vehicles sparked the idea to transfer and investigate the acceptance of this technology on a civilian vehicle domain. In conclusion, the paper presents the preliminary design for the development of the civilian version of the AR/AI system based on the feedback and suggestions of 20 drivers.",

keywords = "augmented reality, intelligent transportation systems, artificial intelligence, collision avoidance, head-up display, smart cities, simulation, human computer interaction, Intelligent transportation, AI, HCI",

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

note = "Acceptance in SAN AAM: 12m embargo Unknown publication date – used last date of conference. ST 13/08/21 Changed template to journal article (from conf. proceedings) as appears in Romeo. ET 1/10/20 - Now published, changed template to conference proceeding. ST 13/08/21; Future of Information and Communications Conference 2021, FICC 2021 ; Conference date: 29-04-2021 Through 30-04-2021",

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Bram-Larbi, KF, Charissis, V, Khan, S, Lagoo, R, Harrison, DK & Drikakis, D 2021, Intelligent collision avoidance and manoeuvring system with the use of augmented reality and artificial intelligence. in K Arai (ed.), Advances in Information and Communication - Proceedings of the 2021 Future of Information and Communication Conference, FICC: Proceedings of the 2021 Future of Information and Communication Conference (FICC). vol. 1, Advances in Intelligent Systems and Computing, vol. 1363, Springer Nature, pp. 457-469, Future of Information and Communications Conference 2021, Vancouver, British Columbia, Canada, 29/04/21. https://doi.org/10.1007/978-3-030-73100-7_32

Intelligent collision avoidance and manoeuvring system with the use of augmented reality and artificial intelligence. / Bram-Larbi, K.F.; Charissis, V.; Khan, S. et al.
Advances in Information and Communication - Proceedings of the 2021 Future of Information and Communication Conference, FICC: Proceedings of the 2021 Future of Information and Communication Conference (FICC). ed. / Kohei Arai. Vol. 1 Springer Nature, 2021. p. 457-469 (Advances in Intelligent Systems and Computing; Vol. 1363).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Intelligent collision avoidance and manoeuvring system with the use of augmented reality and artificial intelligence

AU - Bram-Larbi, K.F.

AU - Charissis, V.

AU - Khan, S.

AU - Lagoo, R.

AU - Harrison, D.K.

AU - Drikakis, D.

N1 - Acceptance in SAN AAM: 12m embargo Unknown publication date – used last date of conference. ST 13/08/21 Changed template to journal article (from conf. proceedings) as appears in Romeo. ET 1/10/20 - Now published, changed template to conference proceeding. ST 13/08/21

PY - 2021/4/30

Y1 - 2021/4/30

N2 - The efficiency of collision-avoidance abrupt braking or manoeuvring is primarily based on a driver’s response time. The latter is affected by the driver’s spatial and situational awareness, which in turn is heavily depended on the driver’s cognitive workload. Attention taxing, infotainment systems could dramatically reduce the driver’s ability to respond effectively in an imminent collision situation . Current attempts to reduce this negative impact on driver’s performance had limited success. To improve the driver’s ability to perform a successful collision avoidance braking or manoeuvring, this paper presents the design considerations of a prototype system that employs Augmented Reality (AR) to overlay guidance information in the real-life environment. The proposed system will be further supported by an Artificial Intelligence (AI) system that will act as a co-driver, offering in real-time alternative options to the driver. Prior work for the development of a similar system for Emergency Services’ (ES) vehicles sparked the idea to transfer and investigate the acceptance of this technology on a civilian vehicle domain. In conclusion, the paper presents the preliminary design for the development of the civilian version of the AR/AI system based on the feedback and suggestions of 20 drivers.

AB - The efficiency of collision-avoidance abrupt braking or manoeuvring is primarily based on a driver’s response time. The latter is affected by the driver’s spatial and situational awareness, which in turn is heavily depended on the driver’s cognitive workload. Attention taxing, infotainment systems could dramatically reduce the driver’s ability to respond effectively in an imminent collision situation . Current attempts to reduce this negative impact on driver’s performance had limited success. To improve the driver’s ability to perform a successful collision avoidance braking or manoeuvring, this paper presents the design considerations of a prototype system that employs Augmented Reality (AR) to overlay guidance information in the real-life environment. The proposed system will be further supported by an Artificial Intelligence (AI) system that will act as a co-driver, offering in real-time alternative options to the driver. Prior work for the development of a similar system for Emergency Services’ (ES) vehicles sparked the idea to transfer and investigate the acceptance of this technology on a civilian vehicle domain. In conclusion, the paper presents the preliminary design for the development of the civilian version of the AR/AI system based on the feedback and suggestions of 20 drivers.

KW - augmented reality

KW - intelligent transportation systems

KW - artificial intelligence

KW - collision avoidance

KW - head-up display

KW - smart cities

KW - simulation

KW - human computer interaction

KW - Intelligent transportation

KW - AI

KW - HCI

U2 - 10.1007/978-3-030-73100-7_32

DO - 10.1007/978-3-030-73100-7_32

M3 - Conference contribution

SN - 9783030730994

VL - 1

T3 - Advances in Intelligent Systems and Computing

SP - 457

EP - 469

BT - Advances in Information and Communication - Proceedings of the 2021 Future of Information and Communication Conference, FICC

A2 - Arai, Kohei

PB - Springer Nature

T2 - Future of Information and Communications Conference 2021

Y2 - 29 April 2021 through 30 April 2021

ER -

Bram-Larbi KF, Charissis V, Khan S, Lagoo R, Harrison DK, Drikakis D. Intelligent collision avoidance and manoeuvring system with the use of augmented reality and artificial intelligence. In Arai K, editor, Advances in Information and Communication - Proceedings of the 2021 Future of Information and Communication Conference, FICC: Proceedings of the 2021 Future of Information and Communication Conference (FICC). Vol. 1. Springer Nature. 2021. p. 457-469. (Advances in Intelligent Systems and Computing). Epub 2021 Apr 13. doi: 10.1007/978-3-030-73100-7_32

Intelligent collision avoidance and manoeuvring system with the use of augmented reality and artificial intelligence

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

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