Multi sensor industrial metrology for high precision measurements and 3D modelling

用于高精度测量和 3D 建模的多传感器工业计量

• 批准号: 6605-2006
• 负责人: Chapman, Michael
• 金额: $ 1.89万
• 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=389375
• 关键词: Multi; sensor; industrial; metrology; precision

The primary objective of this research is the development of algorithms and procedures for the extraction of high precision 3D data of objects in an industrial environment. As the project evolves, research efforts will focus on the semi-automation of the feature extraction process from digital sensor sequences taken from various viewing locations. This would include image locations at various heights, distances and angles with respect to the object being imaged as well as the use of varying imaging modalities. The pursuit of this line of research was inspired by the need for precise three-dimensional data for reconstruction, modelling and geospatial information systems. As some of our infrastructure and industrial facilities begin to show signs of aging or increased demand requires upgrading, there is a need to replace, repair and modify existing structures and systems in order to comply with maintenance schedules and evolving demands. In many cases, original plans are unavailable or non-existent and, at best, are simply 2D plans for a three dimensional structure. The complexity of the structure can vary over time with incremental additions and modifications that are often unrecorded. During the retrofit or upgrade phase, 3D plans and graphics are essential for achieving an efficient and precise modification. Many of these structures and facilities involve the use of components that are comprised of basic geometric forms that can be modelled using geometric primitives. Since my move to the Department of Civil Engineering at Ryerson University, we have established a new digital metrology laboratory that is equipped with several high-end computers, digital cameras and access to high resolution terrestrial Lidar scanners. Through the use of these cameras and Lidar systems, the information content of high-resolution data sets can be exploited to capture high-precision 3D information of structures. This research will address the problems associated with data fusion from a multi-sensor acquisition environment.

本研究的主要目标是开发用于在工业环境中提取物体的高精度3D数据的算法和程序。随着项目的发展，研究工作将集中在从不同观察位置拍摄的数字传感器序列中提取特征的半自动化过程。这将包括在相对于被成像的对象的各种高度、距离和角度处的图像位置以及使用变化的成像模态。开展这一研究的灵感来自于需要精确的三维数据用于重建、建模和地理空间信息系统。由于我们的一些基础设施和工业设施开始显示出老化的迹象，或者需求增加需要升级，因此需要更换、修理和修改现有的结构和系统，以符合维护时间表和不断变化的需求。在许多情况下，原始计划不可用或不存在，充其量只是三维结构的2D计划。结构的复杂性可能随着时间的推移而变化，增加和修改往往没有记录。在改造或升级阶段，3D平面图和图形对于实现高效和精确的修改至关重要。这些结构和设施中的许多涉及使用由可以使用几何图元建模的基本几何形式组成的组件。自从我搬到瑞尔森大学土木工程系以来，我们建立了一个新的数字计量实验室，配备了几台高端计算机，数码相机和高分辨率地面激光雷达扫描仪。通过使用这些相机和激光雷达系统，可以利用高分辨率数据集的信息内容来捕获结构的高精度3D信息。这项研究将解决与多传感器采集环境中的数据融合相关的问题。