2015
DOI: 10.5194/isprsarchives-xl-5-w4-245-2015
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Accuracy Evaluation of a Mobile Mapping System With Advanced Statistical Methods

Abstract: ABSTRACT:This paper discusses a methodology to evaluate the precision and the accuracy of a commercial Mobile Mapping System (MMS) with advanced statistical methods. So far, the metric potentialities of this emerging mapping technology have been studied in few papers, where generally the assumption that errors follow a normal distribution is made. In fact, this hypothesis should be carefully verified in advance, in order to test how well the Gaussian classic statistics can adapt to datasets that are usually af… Show more

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Cited by 59 publications
(40 citation statements)
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“…Usually, accuracy measures are based on the hypothesis that errors follow a normal dispersal (SAX- ENA and SINGH 2005;TOSCHI et al 2015). However, it should be revised carefully.…”
Section: Maunementioning
confidence: 99%
“…Usually, accuracy measures are based on the hypothesis that errors follow a normal dispersal (SAX- ENA and SINGH 2005;TOSCHI et al 2015). However, it should be revised carefully.…”
Section: Maunementioning
confidence: 99%
“…Various authors have presented the use of terrestrial MMS to provide extremely dense 3D point coverage of building facades (Barber et al, 2008;Haala and Rothermel, 2015;Toschi et al, 2015). With regards to the test conducted in this paper, the integration is mainly performed with these aims:…”
Section: Data Integration For Further Analyses and Visualizationmentioning
confidence: 99%
“…to acquire a georeferenced 3D point cloud, the aim of this step is to analyze, in the CH field, the quality of the MLS point cloud using a ground truth provided by a TLS. To dismiss the uncertainties associated to the global coordinate geo-referencing, a registration phase with the Iterative Closest Point (ICP) technique is carried out, prior to the MLS point cloud evaluation [51]. As a result, only those errors affecting the 3D point cloud of the architectural elements are analyzed.…”
Section: Accuracy Assessment Protocolmentioning
confidence: 99%