Photometry and radiometry-based metrology for design and development of high-precision fully-autonomous robotic inspection systems

基于光度测量和辐射测量的计量，用于设计和开发高精度全自动机器人检测系统

• 批准号: RGPIN-2017-06294
• 负责人: Mehrandezh, Mehran
• 金额: $ 1.82万
• 依托单位: University of Regina
• 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=638344
• 关键词: Photometry; radiometry; based; metrology; design

The long-term objective of my research is to focus on developing methods to optimally integrate high-precision multi-spectral imaging sensors with the operation of unmanned systems to create high precision products, inspection tools, and manufacturing processes. In particular, photometry- and radiometry-based metrology for unmanned systems have been drawing a significant attention within the research community since they surpass other sensors known to the man kind in terms of information transfer capacity and the required acquisition/processing time. The missing piece in this puzzle, aside from physical challenges at the manufacturing level, however, is the lack of intelligent, yet robust information filters to deal with the massive data generated by wide-spectrum imaging sensors.

我的研究的长期目标是专注于开发方法，以将高精度多光谱成像传感器与无人系统的操作最佳地整合起来，以创建高精度产品，检查工具和制造工艺。尤其是，基于无人系统的基于光度法和辐射指定学的计量学在研究界一直引起人们的重大关注，因为它们在信息传输能力和所需的获取/处理时间方面超越了人类已知的其他传感器。但是，除了在制造水平上的物理挑战之外，这个难题中缺少的作品是缺乏智能但强大的信息过滤器来处理由广谱成像传感器产生的大量数据。