Biologically-inspired detection, pursuit and interception of moving objects by unmanned aircraft systems

虽然众所周知，具有攻击性的蜜蜂在探测、追击和拦截移动目标方面非常有效，但这种行为从未被定量研究过。该项目将使用高速视频摄影技术来研究这种行为，开发用于检测移动目标的视觉算法，并创建控制追击的机制的动态模型。由此产生的算法将被整合到无人驾驶飞行器中，用于探测、监控和跟踪天空中的其他物体，并对其性能进行评估。研究结果将有助于更好地理解追击行为的生物学基础，并为空中监视和安全带来新技术。

Although it is well known that aggressive honeybees are very effective at detecting, pursuing and intercepting moving targets, this behaviour has never been studied quantitatively. This project will use high-speed video cinematography to investigate this behaviour, to develop visual algorithms for the detection of moving targets, and to create dynamical models of the mechanisms that control pursuit. The resulting algorithms will be incorporated into unmanned aerial vehicles for detecting, monitoring and tracking other objects in the sky, and their performance will be evaluated. The results will provide a better understanding of the biological basis of pursuit behaviour, as well as lead to novel technologies for aerial surveillance and safety.