Electronic Distance Measurement

Rüeger, J. M.

doi:10.1007/978-3-642-97196-9

Cited by 95 publications

(59 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The first is the set of physical parameters that form what might be considered a basic AP set. TLSs have several salient properties in common with total stations so many of the physical models can be drawn from the relevant foundation literature (e.g., Cooper, 1982;Rüeger, 1990). This group includes the rangefinder additive constant, cyclic errors, collimation and trunnion axis errors, vertical circle index error and others that are fully described herein.…”

Section: Systematic Error Modelsmentioning

confidence: 99%

Error modelling, calibration and analysis of an AM–CW terrestrial laser scanner system

Lichti

2007

ISPRS Journal of Photogrammetry and Remote Sensing

215

223

View full text Add to dashboard Cite

Section: Systematic Error Modelsmentioning

confidence: 99%

Error modelling, calibration and analysis of an AM–CW terrestrial laser scanner system

Lichti

2007

ISPRS Journal of Photogrammetry and Remote Sensing

215

223

View full text Add to dashboard Cite

“…The unit length is the scale on which the EDM measures the distance. Unit length is as great as one half of the modulation wavelength [13,15].…”

Section: Error Sources For Edmmentioning

confidence: 99%

A Novel Robust Scaling for EDM Calibration Baselines using Monte Carlo Study

Erenoǧlu

2018

Teh. vjesn.

View full text Add to dashboard Cite

Abstract:The terrestrial measurements using Electronic Distance Measurement (EDM) have been widely done for different applications such as deformation monitoring and establishing geodetic networks. The calibration of the EDMs reflects the quality of the estimated parameters. In geodesy, least squares principle is mainly used for estimating parameters. The least square estimation is adversely affected by the systematic and non-systematic errors resulting in bias for the estimated parameters. In this study, to compare efficacy of different robust methods, the Monte Carlo simulation is applied to the EDM calibration as well as real experiments. The parameters without errors are obtained as a result of the used methodology. The methods given in this study are basically based on iteratively reweighted least squares and can be used for both parameter estimation and outlier diagnostics. This is of particular importance for calibrations of electromagnetic distance measurements using the Monte Carlo simulation and the measured test baselines. The results showed that one of the advantages of the used methodology is the improvement of the reliability of the estimated calibration parameters.

show abstract

“…An error in the partial water vapour pressure of 1 hPa causes 0.04 ppm impact on distance measurements. Relative humidity (%) or partial water vapour pressure of observations can be taken to further improvement of the accuracy of the calibration (Pollinger et al 2012;Rueger 1990). …”

Section: Fig 1 Orthophoto Of the Kyviškės Calibration Baselinementioning

confidence: 99%

Twenty Years of Experience Running Calibration Baseline

Büga

Putrimas

2017

Proccedings of 10th International Conference "Environmental Engineering"

View full text Add to dashboard Cite

Abstract. The authors of the paper are sharing their 20 years of experience in using Kyviškės Calibration Baseline. The Kyviškės Calibration Baseline (1320 m) is the longest calibration baseline in Lithuania. The baseline is calibrated regularly with 5-7 years period. The first time these measurements were performed in 1997 and repeated in 2001, 2007, 2008 and 2014. The same Kern Mekometer ME5000 EDM (electronic distance measurement) instrument was used for all the measurements performed. By building additional pillar aside from the baseline pillars the Kyviškės Baseline was converted to a triangle-shaped test field in 2000. The results confirm good stability of the baseline, which is now used for calibration of the EDM instruments, total stations and GNSS (global navigation satellite system) receivers.

show abstract

Electronic Distance Measurement

Cited by 95 publications

References 0 publications

Error modelling, calibration and analysis of an AM–CW terrestrial laser scanner system

Error modelling, calibration and analysis of an AM–CW terrestrial laser scanner system

A Novel Robust Scaling for EDM Calibration Baselines using Monte Carlo Study

Twenty Years of Experience Running Calibration Baseline

Contact Info

Product

Resources

About