@inproceedings{bba2dd08e09b491fb3adc6c6c680720a,
title = "AR Guidance System for Traffic Circumvention and Collision Avoidance: Emergency Services Case Study",
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.",
keywords = "Artificial Intelligence, Augmented Reality, Collision Avoidance, Driver Distraction, Emergency Services, Head-Up Display, Smart Cities",
author = "Bram-Larbi, {K. F.} and V. Charissis and S. Khan and R. Lagoo and D. Drikakis and Harrison, {D. K.}",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE International Conference on Consumer Electronics, ICCE 2021 ; Conference date: 10-01-2021 Through 12-01-2021",
year = "2021",
month = jan,
day = "10",
doi = "10.1109/ICCE50685.2021.9427708",
language = "English",
series = "Digest of Technical Papers - IEEE International Conference on Consumer Electronics",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2021 IEEE International Conference on Consumer Electronics, ICCE 2021",
}
