课题基金 / 基金详情

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

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
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-09-01 至 2023-08-31

项目摘要

项目成果

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
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.
期刊论文(3)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1117/12.2657163
发表时间: 2023-04
期刊:
影响因子: --
作者: [Fabio Bottalico;Nicholas A. Valente;C. Niezrecki;Kshitij Jerath;Yan Luo;A. Sabato]
通讯作者: 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
影响因子: --
作者: [Bottalico, Fabio, Valente, Nicholas A., Dabetwar, Shweta, Jerath, Kshitij, Luo, Yan, Niezrecki, Christopher, Sabato, Alessandro]
通讯作者: Sabato, Alessandro
国内基金
海外基金
水稻边界发育缺陷突变体abnormal boundary development(abd)的基因克隆与功能分析
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    40万元
  • 批准年份:
    2020
  • 负责人:
    Vikrant Gupta
  • 依托单位: