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 proceeding › Conference contribution

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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 languageEnglish
Title of host publicationProceedings of the 39th IEEE International Conference on Consumer Electronics (ICCE 2021)
PublisherIEEE
Number of pages6
Publication statusAccepted/In press - 15 Oct 2020

Keywords

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

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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    Accepted author manuscript, 516 KB

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