High-Precision Navigation of UAVs using SLAM and Reinforcement Learning

无人驾驶飞行器（uav）在民用、军事和安全领域的应用显示出巨大的潜力。无人机在民用、军事和安全领域有许多潜在的应用，例如国防巡逻任务、农业活动、森林火灾监测和控制、网格监测、边境控制、搜索、监视和救援。尽管许多应用都需要无人机，但在实际应用之前，仍有许多技术难题需要解决。一个具有挑战性的问题是高精度导航系统，这对许多其他应用至关重要。**随着人工智能（AI）的最新进展，将AI与传统的导航方法（如同步定位和地图绘制**）相结合，可以提高导航精度**，这将通过拟议的ENGAGE项目进行开发。因此，拟议的研究非常及时，因为它旨在推进该领域的关键技术。这对于在加拿大发展下一阶段UAV研究和发展所需的专业知识和人才也很重要。

Unmanned Aerial Vehicles (UAVs) have shown great potential in applications within civilian, military and**security areas. There are a number of potential applications for UAVs in civilian, military and security areas,**for example defense patrol duties, agricultural activities, forest fire monitoring and control, grid monitoring,**boarder control, search, surveillance, and rescue. Although the UAVs are needed for many applications, there**are still many technical difficulties to be solved before they can be used in practical applications. One**challenging problem is the high-precision navigation system, which is critical for many other applications.**With the recent advancements in Artificial Intelligence (AI), it is possible to improve the navigation precision**by combining AI with the traditional navigation approach such as simultaneous localization and mapping**(SLAM), which will be developed through this proposed ENGAGE project. The proposed research is therefore**very timely, since it aims to advance key technologies in this area. It is also important for developing expertise**and talent within Canada needed for the next phases of UAV research and development.