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
- Human-Computer Interaction
- Emergency Medical Services
- Artificial Intelligence
- Human Factors and Ergonomics
- Safety Research
- Computer Science Applications
- Computer Vision and Pattern Recognition
- Automotive Engineering
- Transportation
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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