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An augmented reality system for real-time decision-making in flood emergencies

Safranoglou Ioannis

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Summary

Locomotion interfaces for head-worn augmented reality (AR) devices are critical for rescuers moving on-site during disaster responses, such as flood emergency management. Incorporating live, real-time data—instead of static information—in the form of event forecasting over time without overloading the user's field of view is crucial for effective decision-making. This thesis presents an innovative head-worn AR flood management system designed to enhance situational awareness and decision-making for emergency responders on the go. The system dynamically visualizes present and predicted water levels, as well as water speed and direction at specific future time intervals, in real-time and regardless of location, thereby improving flood management while rescuers are moving. Additionally, points of interest are displayed on the horizon, with those most likely to require assistance indicated by color variations, allowing rescuers to navigate and respond more effectively to emergency scenarios. The system also features gaze-enabled interaction, enabling hands-free operation, which is essential in physically demanding environments. The prototype was tested by professional firefighters in Innsbruck and Dortmund under simulated flood conditions. Feedback from these trials highlighted the potential of providing comprehensive, real-time AR visualization to enhance disaster response strategies, with participants reporting improved situational awareness, faster decision-making, and increased operational efficiency. This research contributes to the field of disaster management by offering a practical solution that leverages advanced AR technology to meet the critical needs of emergency responders in real-time flood scenarios.

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