Intelligent collision avoidance and manoeuvring system with the use of augmented reality and artificial intelligence

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

Abstract

The efficiency of collision-avoidance abrupt braking or manoeuvring is primarily based on a driver{\textquoteright}s response time. The latter is affected by the driver{\textquoteright}s spatial and situational awareness, which in turn is heavily depended on the driver{\textquoteright}s cognitive workload. Attention taxing, infotainment systems could dramatically reduce the driver{\textquoteright}s ability to respond effectively in an imminent collision situation . Current attempts to reduce this negative impact on driver{\textquoteright}s performance had limited success. To improve the driver{\textquoteright}s ability to perform a successful collision avoidance braking or manoeuvring, this paper presents the design considerations of a prototype system that employs Augmented Reality (AR) to overlay guidance information in the real-life environment. The proposed system will be further supported by an Artificial Intelligence (AI) system that will act as a co-driver, offering in real-time alternative options to the driver. Prior work for the development of a similar system for Emergency Services{\textquoteright} (ES) vehicles sparked the idea to transfer and investigate the acceptance of this technology on a civilian vehicle domain. In conclusion, the paper presents the preliminary design for the development of the civilian version of the AR/AI system based on the feedback and suggestions of 20 drivers.

Citation

Bram-Larbi, K., Charissis, V., Khan, S., Lagoo, R., Harrison, D., & Drikakis, D. (2022, April). Intelligent collision avoidance and manoeuvring system with the use of augmented reality and artificial intelligence. Presented at 2021 Future of Information and Communication Conference (FICC), Vancouver, Canada

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 2021 Future of Information and Communication Conference (FICC)
• Start Date: Apr 29, 2022
• End Date: Apr 30, 2022
• Online Publication Date: Apr 13, 2021
• Publication Date: 2021
• Deposit Date: Apr 18, 2023
• Publisher: Springer
• Pages: 457-469
• Series Title: Advances in Intelligent Systems and Computing
• Series Number: 1363
• Book Title: Advances in Information and Communication - Proceedings of the 2021 Future of Information and Communication Conference, FICC
• ISBN: 978-3-030-73099-4
• DOI: https://doi.org/10.1007/978-3-030-73100-7_32
• Keywords: augmented reality, intelligent transportation systems, artificial intelligence, collision avoidance, head-up display, smart cities, simulation, human computer interaction, Intelligent transportation, AI, HCI
• Public URL: http://researchrepository.napier.ac.uk/Output/3064162
• Publisher URL: https://saiconference.com/Conferences/FICC2021