High-Precision Navigation of UAVs using SLAM and Reinforcement Learning

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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.