Guidance and navigation for swarms of unmanned aerial vehicles

这个提议涉及到技术的发展，使无人机群的飞行。蜂群是大量的无人机一起工作来完成一个共同的目标。蜂群可以用来收集数据、执行检查、交付、实时监控情况，甚至可以用于娱乐。这些可以应用于精准农业、采矿、石油和天然气、建筑、交付、国防和娱乐等市场。蜂群允许从许多点快速收集大量数据，并且可以以稳健、可靠的方式这样做。然而，要实现这一目标需要许多技术进步。提出的研究解决了两个关键的技术挑战：1)无人机之间的障碍物和碰撞避免；2)无人机群的鲁棒精确导航。技术挑战1)也需要解决，以允许无人机在彼此之间的近距离安全操作，以及在可能发生不可预见障碍的近距离地面操作。技术挑战2)需要解决，以使无人机群在彼此接近的情况下安全运行。加拿大无人机产业发展迅速。拟议的研究将增强加拿大在无人机技术方面的知识库，特别是在蜂群控制、障碍和避碰以及鲁棒精确相对导航领域。

This proposal involves the development of technologies to enable the flight of drone swarms. Swarms are a large number of drones working together to accomplish a common goal. Swarms can be used to collect data, perform inspections, delivery, monitor situations in real-time and can even be used for entertainment. These can be applied to markets such as precision agriculture, mining, oil and gas, construction, delivery, defense, and entertainment. Swarms allow for the rapid collection of large amounts of data from numerous points and can do so in a robust, reliable manner. However, there are a number of technological advancements that are needed to make this possible. The proposed research addresses two key technical challenges: 1) obstacle and collision avoidance among UAVs; 2) robust accurate navigation for swarms of UAVs. Technical challenge 1) needs to be solved also to allow UAVs to operate safely in close proximity to each other, as well as in close proximity to the ground where unforeseen obstacles may occur. Technical challenge 2) needs to be solved to enable swarms of UAVs to operate safely in close proximity to each other. The Canadian UAV industry is growing rapidly. The proposed research will enhance the Canadian knowledge base in UAV technologies, in particular in the areas of control of swarms, obstacle and collision avoidance, and robust accurate relative navigation.