MRI: Development of a Calibration System for Stereophotogrammetry to Enable Large-Scale Measurement and Monitoring

MRI：开发立体摄影校准系统以实现大规模测量和监控

• 批准号: 2018992
• 负责人: Alessandro Sabato
• 金额: $ 45.51万
• 依托单位: University of Massachusetts Lowell
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-01 至 2023-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2018992&HistoricalAwards=false
• 关键词: MRI; Development; Calibration; System; Stereophotogrammetry

This Major Research Instrumentation (MRI) project will develop a multi-sensor system that will allow measurements from moving platforms, such as remotely connected/remotely paired unmanned vehicles or drones. The novel instrument will be used for real-time calibration of specialty cameras in a novel computer-vision system. This new knowledge and technique will enhance public safety through rapid and accurate inspection of critical infrastructure and large-scale physical systems. This instrumentation will contribute to fundamental research at the University of Massachusetts-Lowell and the development of new curriculum on sensors integration, controls, and machine-vision. Collaborations with local high school teachers will introduce K-12 students to computer-vision and unmanned aerial vehicle (UAV) inspection, encouraging them to pursue STEM careers.This potentially transformative instrumentation will be used for real-time calibration of stereophotogrammetry and remotely paired digital cameras, thereby streamlining calibration procedures and enabling measurements from moving platforms. The multi-sensor system records the orientation angles and the relative distance between two paired cameras needed to triangulate the 3D position of optical targets with respect to the cameras’ retinal plane. This obviates the need for time-consuming calibration and fixed sensor positioning and has the potential to enlarge the field of view. The instrumentation will provide a new means for recording data to inform and validate ongoing advanced modeling efforts and to enable a new understanding of large-scale systems’ dynamic characteristics. Research using this instrumentation will drive a fundamental understanding of how physical parameters such as displacement, deformation, and strain characterize the behavior of large-scale systems like large infrastructure, wind turbine blades and parachutes.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该主要研究仪器（MRI）项目将开发一种多传感器系统，允许从移动平台进行测量，例如远程连接/远程配对的无人驾驶车辆或无人机。该新型仪器将用于新型计算机视觉系统中专业摄像机的实时校准。这种新的知识和技术将通过快速和准确地检查关键基础设施和大型物理系统来加强公共安全。该仪器将有助于马萨诸塞大学洛厄尔分校的基础研究，以及传感器集成、控制和机器视觉新课程的开发。与当地高中教师合作，将向K-12学生介绍计算机视觉和无人机（UAV）检查，鼓励他们从事STEM职业。这种潜在的革命性仪器将用于立体摄影测量和远程配对数码相机的实时校准，从而简化校准程序并实现移动平台的测量。多传感器系统记录两个配对的相机之间的方向角度和相对距离，以便根据相机的视网膜平面对光学目标的三维位置进行三角测量。这避免了耗时的校准和固定传感器定位的需要，并有扩大视野的潜力。该仪器将提供一种记录数据的新方法，为正在进行的高级建模工作提供信息和验证，并使对大规模系统动态特性的新理解成为可能。使用该仪器的研究将推动对位移、变形和应变等物理参数如何表征大型系统（如大型基础设施、风力涡轮机叶片和降落伞）行为的基本理解。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Sensor-aided camera calibration for three dimensional digital image correlation measurements

• DOI: 10.1117/12.2657163
• 发表时间: 2023-04
• 作者: Fabio Bottalico;Nicholas A. Valente;C. Niezrecki;Kshitij Jerath;Yan Luo;A. Sabato

A sensor-based calibration system for three-dimensional digital image correlation

基于传感器的三维数字图像相关校准系统

• DOI: 10.1117/12.2612106
• 发表时间: 2022
• 期刊: Health Monitoring of Structural and Biological Systems XVI
• 作者: Bottalico, Fabio;Valente, Nicholas A.;Dabetwar, Shweta;Jerath, Kshitij;Luo, Yan;Niezrecki, Christopher;Sabato, Alessandro
• 通讯作者: Sabato, Alessandro