Computer vision algorithms for aerospace applications

航空航天应用的计算机视觉算法

• 批准号: 298246-2007
• 负责人: Okouneva, Galina
• 金额: $ 1.17万
• 依托单位: Ryerson University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2008
• 资助国家: 加拿大
• 起止时间: 2008-01-01 至 2009-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=395998
• 关键词: Computer; vision; algorithms; aerospace; applications

This proposal describes continuing research sponsored by NSERC held in the Computer Vision Management Laboratory (CVML) at the Department of Aerospace Engineering of Ryerson University. Dr. Okouneva's research interests lie in the area of applications of computer vision to the aerospace industry. In the space domain, applications include planetary exploration, on-orbit rendezvous and spacecraft inspection, automatic docking and satellite servicing operations. Dr. Okouneva's proposed research program research program includes the following projects: 1) Feature selection for 3D registration of range images of spacecraft objects. This project includes the research and development of an intelligent procedure of feature selection on spacecraft objects to achieve the best registration accuracy; 2) Research on properties of the initial guess for iterative pose estimation algorithms, in particular, what parameters of a pose estimation problem affect the initial guess and how to optimally choose it; 3) Optimal Strategy of Target Placement on Spacecraft Surfaces. The goal of this project is to estimate a possible accuracy improvement when targets form an optimized set on the surface of a spacecraft module.

该提案描述了由NSERC在瑞尔森大学航空航天工程系计算机视觉管理实验室（CVML）赞助的持续研究。Okouneva博士的研究兴趣在于计算机视觉在航空航天工业中的应用领域。在空间领域，应用包括行星探测、在轨交会和航天器检测、自动对接和卫星服务操作。Okouneva博士提出的研究计划研究计划包括以下项目：1)航天器物体距离图像三维配准的特征选择。该项目包括研究和开发一种用于航天器目标特征选择的智能程序，以实现最佳的配准精度；2)研究迭代姿态估计算法初始猜测的性质，特别是姿态估计问题的哪些参数会影响初始猜测，以及如何最优地选择初始猜测；3)航天器表面目标放置优化策略。该项目的目标是估计当目标在航天器模块表面形成优化集时可能的精度提高。