High-Precision Navigation of UAVs using SLAM and Reinforcement Learning

使用 SLAM 和强化学习的无人机高精度导航

• 批准号: 526376-2018
• 负责人: Shan, Jinjun
• 金额: $ 1.82万
• 依托单位: York University
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=664854
• 关键词: Precision; Navigation; UAVs; using; SLAM

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.

无人机在民用、军事和安全领域显示出巨大的应用潜力。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、电网监测、** 边境控制、搜索、监视和救援。虽然无人机有许多应用需求，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，可以通过将AI与传统的导航方法（如同步定位和映射 **（SLAM））相结合来提高导航精度 **，该方法将通过该拟议的ENGAGE项目开发。因此，拟议的研究非常及时，因为它旨在推进这一领域的关键技术。这对于在加拿大发展无人机研究和开发下一阶段所需的专业知识和人才也很重要。