A novel multi-target modular probe for multiple Large-Volume Metrology systems

Abstract Recent studies show that the combined use of Large-Volume Metrology (LVM) systems (e.g., laser trackers, rotary-laser automatic theodolites (R-LATs), photogrammetric cameras, etc.) can lead to a systematic reduction in measurement uncertainty and a better exploitation of the available equipment. Unfortunately, the sensors of a specific LVM system are usually able to localize only specific targets (i.e., active/passive elements positioned in the measurement volume) and not necessarily those related to other systems (e.g., the reflective markers for photogrammetric cameras cannot be used for R-LATs or laser trackers); this represents an obstacle when using combinations of different LVM systems. This paper describes the design of a new modular probe, with different typologies of targets and integrated sensors, which allows to simplify the measurement process. The probe is versatile as the number of targets, their typology and spatial position can be customized depending on the combination of LVM systems in use. A detailed analysis of the technical and functional characteristics of the probe is followed by the presentation of a mathematical/statistical model for the real-time probe localization. Description is supported by realistic application examples.

[1]  Erik D. Demaine,et al.  Mobile-assisted localization in wireless sensor networks , 2005, Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies..

[2]  Stephen Kyle,et al.  Optically jointed probing systems for large volume coordinate metrology , 2007 .

[3]  Robert Hocken,et al.  Coordinate Measuring Machines and Systems , 2011 .

[4]  Bernhard P. Wrobel,et al.  Multiple View Geometry in Computer Vision , 2001 .

[5]  Domenico A. Maisano and Luca Mastrogiacomo Withdrawn: Multi-Target Modular probe for Large-Volume Metrology , 1969 .

[6]  Fiorenzo Franceschini,et al.  Ultrasound Transducers for Large-Scale Metrology: A Performance Analysis for Their Use by the MScMS , 2010, IEEE Transactions on Instrumentation and Measurement.

[7]  Fiorenzo Franceschini,et al.  Cooperative diagnostics for distributed large-scale dimensional metrology systems based on triangulation , 2014 .

[8]  Fiorenzo Franceschini,et al.  Distributed Large-Scale Dimensional Metrology , 2011 .

[9]  Luca Mastrogiacomo,et al.  A new methodology to design multi-sensor networks for distributed large-volume metrology systems based on triangulation , 2015 .

[10]  Fiorenzo Franceschini,et al.  The evolution of large-scale dimensional metrology from the perspective of scientific articles and patents , 2014 .

[11]  Fiorenzo Franceschini,et al.  Combining multiple Large Volume Metrology systems: Competitive versus cooperative data fusion , 2016 .

[12]  Jody Muelaner,et al.  A new paradigm in large-scale assembly—research priorities in measurement assisted assembly , 2014 .

[13]  Fiorenzo Franceschini,et al.  Indoor GPS: system functionality and initial performance evaluation , 2008, Int. J. Manuf. Res..

[14]  B D Hall,et al.  On the propagation of uncertainty in complex-valued quantities , 2004 .

[15]  Peihua Qiu,et al.  Generalized Least Squares , 2005, Technometrics.

[16]  Fiorenzo Franceschini,et al.  Cooperative fusion of distributed multi-sensor LVM (Large Volume Metrology) systems , 2015 .

[17]  Paul G. Maropoulos,et al.  Recent developments in large-scale dimensional metrology , 2009 .

[18]  W. Steckelmacher Handbook of surface metrology , 1995 .

[19]  F. Franceschini,et al.  A Comparison of Two Different Approaches to Camera Calibration in LSDM Photogrammetric Systems , 2014 .

[20]  Thiagalingam Kirubarajan,et al.  Estimation with Applications to Tracking and Navigation , 2001 .

[21]  William T. Estler,et al.  Large-Scale Metrology – An Update , 2002 .

[22]  John R. Wolberg,et al.  Data Analysis Using the Method of Least Squares: Extracting the Most Information from Experiments , 2005 .