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Improving Emergency Vehicles' Response Times with the Use of Augmented Reality and Artificial Intelligence

机译:利用增强现实和人工智能改善了应急车辆的响应时间

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The rapid mobilization of Emergency Services (ES) could be particularly challenging for ES drivers and staff that have to navigate and manoeuvre through various traffic and weather conditions. Driving, in high speeds through dense traffic is a particularly demanding psychomotor task for the ES drivers and could result in collisions and even fatalities. Current attempts to support the driver and reduce the potential driving hazards had limited success. The paper presents the design rationale of a prototype system that utilises Augmented Reality (AR) in the form of a Head-Up Display (HUD) to superimpose guidance information in the real-life environment. The paper will discuss also the requirements for an Artificial Intelligence (AI) system that could analyse the driving conditions and present the best manoeuvring options whilst maintain the road users' safety. Finally, the paper presents the requirements' framework for the development of the proposed AR/AI system based on the feedback and suggestions of ten ES drivers. Their feedback will be presented and discussed in detail as it provided essential insight into the everyday challenges of ES operations.
机译:对应急服务的快速动员可能尤其具有挑战性,这些司机和工作人员必须通过各种交通和天气条件导航和操纵。通过密集的交通的高速驾驶是ES驱动程序的特别要求的精神功能,可能导致碰撞甚至死亡。目前试图支持驾驶员并降低潜在驾驶危险的成功有限。本文提出了一种原型系统的设计基本理由,其利用以抬头显示(HUD)形式的增强现实(AR)来叠加真实环境中的引导信息。本文还将讨论可以分析驾驶条件的人工智能(AI)系统的要求,并呈现最佳机动选项,同时保持道路用户的安全性。最后,本文介绍了基于十个ES驱动程序的反馈和建议的提出的AR / AI系统的要求的要求。他们的反馈将详细介绍和讨论,因为它提供了对ES运营日常挑战的必要洞察力。

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