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Open AccessArticle

Test Charts for Evaluating Imaging and Point Cloud Quality of Mobile Mapping Systems for Urban Street Space Acquisition

1
Department of Geodesy and Geoinformation, TU Wien, Wiedner Hauptstraße 8-10, 1040 Vienna, Austria
2
City of Vienna, Municipal Department “Surveying and Mapping” (MA 41), Muthgasse 62, 1190 Vienna, Austria
*
Author to whom correspondence should be addressed.
Remote Sens. 2021, 13(2), 237; https://doi.org/10.3390/rs13020237
Received: 8 December 2020 / Revised: 8 January 2021 / Accepted: 10 January 2021 / Published: 12 January 2021
Mobile mapping is in the process of becoming a routinely applied standard tool to support administration of cities. For ensuring the usability of the mobile mapping data it is necessary to have a practical method to evaluate the quality of different systems, which reaches beyond 3D accuracy of individual points. Such a method must be objective, easy to implement, and provide quantitative results to be used in tendering processes. We present such an approach which extracts quality figures for point density, point distribution, point cloud planarity, image resolution, and street sign legibility. In its practical application for the mobile mapping campaign of the City of Vienna (Austria) in 2020 the proposed test method proved to fulfill the above requirements. As an additional result, quality figures are reported for the panorama images and point clouds of three different mobile mapping systems. View Full-Text
Keywords: point density; point distribution; street sign legibility; dense matching; laser scanning point density; point distribution; street sign legibility; dense matching; laser scanning
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MDPI and ACS Style

Pfeifer, N.; Falkner, J.; Bayr, A.; Eysn, L.; Ressl, C. Test Charts for Evaluating Imaging and Point Cloud Quality of Mobile Mapping Systems for Urban Street Space Acquisition. Remote Sens. 2021, 13, 237. https://doi.org/10.3390/rs13020237

AMA Style

Pfeifer N, Falkner J, Bayr A, Eysn L, Ressl C. Test Charts for Evaluating Imaging and Point Cloud Quality of Mobile Mapping Systems for Urban Street Space Acquisition. Remote Sensing. 2021; 13(2):237. https://doi.org/10.3390/rs13020237

Chicago/Turabian Style

Pfeifer, Norbert; Falkner, Johannes; Bayr, Andreas; Eysn, Lothar; Ressl, Camillo. 2021. "Test Charts for Evaluating Imaging and Point Cloud Quality of Mobile Mapping Systems for Urban Street Space Acquisition" Remote Sens. 13, no. 2: 237. https://doi.org/10.3390/rs13020237

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