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多相机系统的校准程序:过程不确定度预算

Calibration Procedure of a Multi-Camera System: Process Uncertainty Budget.

作者信息

Leizea Ibai, Herrera Imanol, Puerto Pablo

机构信息

IDEKO, Basque Research and Technology Alliance (BRTA), 20870 Elgoibar, Spain.

出版信息

Sensors (Basel). 2023 Jan 4;23(2):589. doi: 10.3390/s23020589.

Abstract

The Automated six Degrees of Freedom (DoF) definition of industrial components has become an added value in production processes as long as the required accuracy is guaranteed. This is where multi-camera systems are finding their niche in the market. These systems provide, among other things, the ease of automating tracking processes without human intervention and knowledge about vision and/or metrology. In addition, the cost of integrating a new sensor into the complete system is negligible compared to other multi-tracker systems. The increase in information from different points of view in multi-camera systems raises the accuracy, based on the premise that the more points of view, the lower the level of uncertainty. This work is devoted to the calibration procedures of multi-camera systems, which is decisive to achieve high performance, with a particular focus on the uncertainty budget. Moreover, an evaluation methodology has been carried out, which is key to determining the level of accuracy of the measurement system.

摘要

只要能保证所需精度,工业部件的自动六自由度(DoF)定义在生产过程中就已成为一项附加值。这就是多摄像头系统在市场中找到其利基的地方。这些系统尤其提供了无需人工干预以及无需视觉和/或计量学知识就能轻松实现跟踪过程自动化的优势。此外,与其他多跟踪器系统相比,将新传感器集成到完整系统中的成本可忽略不计。基于多视角信息越多不确定性水平越低这一前提,多摄像头系统中来自不同视角的信息增加提高了精度。这项工作致力于多摄像头系统的校准程序,这对于实现高性能至关重要,尤其关注不确定性预算。此外,还开展了一种评估方法,这对于确定测量系统的精度水平至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5f98/9864742/084f10cdf4f8/sensors-23-00589-g001.jpg

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