Autonomous and high-precision mapping via vision-guided unmanned aerial systems

通过视觉引导无人机系统进行自主高精度测绘

• 批准号: RGPIN-2017-03881
• 负责人: Shahbazi, Mozhdeh
• 金额: $ 1.6万
• 依托单位: University of Calgary
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=636308
• 关键词: Autonomous; precision; mapping; via; vision

In recent years, integrating three-dimensional (3D) vision to unmanned aerial vehicles (UAVs) has contributed a great deal to the advancement of geo-spatial technologies for fine-scale mapping. Despite the recent efforts, exploiting these systems to their maximum potential has remained limited due to the lack of extensive research and development with respect to the following aspects: increasing the precision, safety and intelligence of navigation; improving the quality and autonomy of data acquisition; integrating multiple complementary data-collection technologies; enhancing techniques of data processing to raise the level of accuracy, completeness, and interpretability of the outputs. In this regard, the long-term objective of my research program (10+ years) is to develop novel approaches for emerging cognitive and collaborative 3D-vision solutions in geomatics engineering. The geomatics applications of these solutions include the broad areas of infrastructure inspection, law enforcement, search and rescue, on-demand emergency mapping, city modeling, wildlife management, and precision farming.

近年来，将三维（3D）视觉集成到无人机（UAV）中为精细比例测绘地理空间技术的进步做出了巨大贡献。尽管最近做出了努力，但由于缺乏在以下方面的广泛研究和开发，充分利用这些系统的潜力仍然受到限制：提高导航的精度、安全性和智能性；提高数据采集的质量和自主性；整合多种互补的数据收集技术；加强数据处理技术，以提高输出的准确性、完整性和可解释性水平。在这方面，我的研究计划（10 年以上）的长期目标是为地理信息工程中新兴的认知和协作 3D 视觉解决方案开发新方法。这些解决方案的地理信息应用包括基础设施检查、执法、搜索和救援、按需应急测绘、城市建模、野生动物管理和精准农业等广泛领域。