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Abstract
Circumventing motorway traffic can be a challenging task for the Emergency Services’ vehicles. This work presents a preliminary Human-Computer Interface (HCI) design which employs Augmented Reality (AR) and Artificial Intelligence (AI) to provide in real-time the best manoeuvring and speed options to the ES driver, through a full-windscreen Head-Up Display (HUD). The system design was presented to 30 ES drivers from Africa and Europe. Their subjective feedback and expectations of the proposed feedback were analysed and offered an insight into the similarities and differences of requirements for the two groups that perform the same activities in different environments.
| Original language | English |
|---|---|
| Title of host publication | 2021 IEEE International Conference on Consumer Electronics (ICCE) |
| Publisher | IEEE |
| Number of pages | 6 |
| ISBN (Electronic) | 9781728197661 |
| ISBN (Print) | 9781728197678 |
| DOIs | |
| Publication status | Published - 13 May 2021 |
| Event | 39th IEEE International Conference on Consumer Electronics - Online Duration: 10 Jan 2021 → 12 Jan 2021 https://www.icce.org/ (Link to conference website) |
Publication series
| Name | Proceedings of ... IEEE International Symposium on Consumer Electronics |
|---|---|
| Publisher | IEEE |
| ISSN (Print) | 2158-3994 |
| ISSN (Electronic) | 2158-4001 |
Conference
| Conference | 39th IEEE International Conference on Consumer Electronics |
|---|---|
| Abbreviated title | IEEE ICCE 2021 |
| Period | 10/01/21 → 12/01/21 |
| Internet address |
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Keywords
- augmented reality
- artificial intelligence
- emergency services
- head-up display
- smart cities
- collision avoidance
- driver distraction
- human factors
- emergency vehicles
- transportation
- simulation
- virtual reality
ASJC Scopus subject areas
- Artificial Intelligence
- Emergency Medical Services
- Human Factors and Ergonomics
- Human-Computer Interaction
- Computer Vision and Pattern Recognition
- Transportation
- Computer Science Applications
- Automotive Engineering
- Safety Research
- Electrical and Electronic Engineering
- Industrial and Manufacturing Engineering
Documents and Links
- Bram-Larbi, K. et al (2020) AR guidance system for traffic circumvention and collision avoidance emergency services case study
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Design principles and user experience of automotive head-up display development
Charissis, V., Bram Larbi, K. F., Lagoo, R., Wang, S. & Khan, S., 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
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Employing emerging technologies to develop and evaluate in-vehicle intelligent systems for driver support: infotainment AR HUD case study
Charissis, V., Falah, J., Lagoo, R., Alfalah, S. F. M., Khan, S., Wang, S., Altarteer, S., Bram Larbi, K. & Drikakis, D., 4 Feb 2021, In: Applied Sciences. 11, 4, p. 1-28 28 p., 1397.Research output: Contribution to journal › Article › peer-review
Open AccessFile17 Citations (Scopus)127 Downloads (Pure) -
Intelligent collision avoidance and manoeuvring system with the use of augmented reality and artificial intelligence
Bram-Larbi, K. F., Charissis, V., Khan, S., Lagoo, R., Harrison, D. K. & Drikakis, D., 30 Apr 2021, 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). Arai, K. (ed.). Springer Nature, Vol. 1. p. 457-469 13 p. (Advances in Intelligent Systems and Computing; vol. 1363).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile1 Citation (Scopus)41 Downloads (Pure)