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AR guidance system for traffic circumvention and collision avoidance: emergency services case study

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish
Title of host publication2021 IEEE International Conference on Consumer Electronics (ICCE)
Place of PublicationPiscataway, NJ
PublisherIEEE Communications Society
ISBN (Electronic)9781728197661
ISBN (Print)9781728197678
DOIs
Publication statusPublished - 13 May 2021
Externally publishedYes

Publication series

NameIEEE Conference Proceedings
PublisherIEEE
ISSN (Print)2158-3994
ISSN (Electronic)2158-4001

UN SDGs

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

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • augmented reality
  • artificial intelligence
  • emergency services
  • head-up display
  • smart cities
  • collision avoidance
  • driver distraction
  • human factors
  • emergency vehicles
  • transportation
  • simulation
  • virtual reality

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