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.

Abstract

Circumventing motorway traffic can be a challenging task for the Emergency Services{\textquoteright} 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.

Citation

Bram-Larbi, K., Charissis, V., Khan, S., Lagoo, R., Drikakis, D., & Harrison, D. (2021). AR guidance system for traffic circumvention and collision avoidance: emergency services case study. In 2021 IEEE International Conference on Consumer Electronics (ICCE). https://doi.org/10.1109/ICCE50685.2021.9427708

• Conference Name: 2021 IEEE International Conference on Consumer Electronics (ICCE)
• Conference Location: Las Vegas, NV, USA
• Start Date: Jan 10, 2021
• End Date: Jan 12, 2021
• Online Publication Date: May 13, 2021
• Publication Date: 2021-02
• Deposit Date: Apr 18, 2023
• Publisher: Institute of Electrical and Electronics Engineers
• Series ISSN: 2158-4001
• Book Title: 2021 IEEE International Conference on Consumer Electronics (ICCE)
• ISBN: 9781728197678
• DOI: https://doi.org/10.1109/ICCE50685.2021.9427708
• Keywords: augmented reality, artificial intelligence, emergency services, head-up display, smart cities, collision avoidance, driver distraction, human factors, emergency vehicles, transportation, simulation, virtual reality
• Publisher URL: https://www.icce.org/