A Runway Safety System Based on Vertically Oriented Stereovision.
In 2020, over 10,000 bird strikes were reported in the USA, with average repair costs exceeding $200 million annually, rising to $1.2 billion worldwide. These collisions of avifauna with airplanes pose a significant threat to human safety and wildlife. This article presents a system dedicated to monitoring the space over an airport and is used to localize and identify moving objects. The solution is a stereovision based real-time bird protection system, which uses IoT and distributed computing concepts together with advanced HMI to provide the setup's flexibility and usability. To create a high degree of customization, a modified stereovision system with freely oriented optical axes is proposed. To provide a market tailored solution affordable for small and medium size airports, a user-driven design methodology is used. The mathematical model is implemented and optimized in MATLAB. The implemented system prototype is verified in a real environment. The quantitative validation of the system performance is carried out using fixed-wing drones with GPS recorders. The results obtained prove the system's high efficiency for detection and size classification in real-time, as well as a high degree of localization certainty.
['Gradolewski|Dawid|D|', 'Dziak|Damian|D|', 'Kaniecki|Damian|D|', 'Jaworski|Adam|A|', 'Skakuj|Michal|M|', 'Kulesza|Wlodek J|WJ|']
runway safety safety system stereovision bird strike localization distributed computing Internet of Things bird monitoring environmental sustainability monitoring of avifauna visual sensor network