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Infrastructures
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  • Open Access

2 July 2024

Correction: Cabral et al. Railway Bridge Geometry Assessment Supported by Cutting-Edge Reality Capture Technologies and 3D As-Designed Models. Infrastructures 2023, 8, 114

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1
CONSTRUCT, Department of Civil Engineering, University of Porto, 4200-465 Porto, Portugal
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CONSTRUCT, Department of Civil Engineering, Polytechnic of Porto, 4249-015 Porto, Portugal
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Department of Civil Engineering, Warsaw University of Technology, 00-664 Warsaw, Poland
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ISISE, ARISE, Department of Civil Engineering, University of Minho, 4800-058 Guimarães, Portugal
This article belongs to the Special Issue Remote Sensing Techniques for Infrastructure Inspection and Monitoring

Error in Figure

In the original publication [], there was a mistake in Figure 1 as published. The original figure caption didn’t cite the reference. The corrected figure caption of Figure 1 appears below.
Figure 1. Methodology for railway bridge virtual visual inspection: (i) recognition and preparation, (ii) data acquisition, (iii) reality capture, (iv) 3D as-designed model, and (v) condition assessment. Adapted with permission from ref. [34]. Copyright 2021, ICoM.

References

34.
Research Project mdfBIM+, RWTH Aachen University—Institute for Construction Management, Digital Construction and Robotics in Construction (ICoM). 2017. Available online: https://bmdv.bund.de/SharedDocs/DE/Artikel/DG/mfund-projekte/mdfbim-plus.html (accessed on 24 January 2024).
With this correction, a new reference 34 was added and the order of some references has been adjusted accordingly. The authors state that the scientific conclusions are unaffected. This correction was approved by the Academic Editor. The original publication has also been updated.

Reference

  1. Cabral, R.; Oliveira, R.; Ribeiro, D.; Rakoczy, A.M.; Santos, R.; Azenha, M.; Correia, J. Railway Bridge Geometry Assessment Supported by Cutting-Edge Reality Capture Technologies and 3D As-Designed Models. Infrastructures 2023, 8, 114. [Google Scholar] [CrossRef]
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