Measuring Road Structures Using a Mobile Mapping System

Grešla, O.; Jašek, P.

doi:10.5194/isprs-archives-xlviii-5-w2-2023-43-2023

Cited by 1 publication

(6 citation statements)

References 1 publication

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“…The collected data are processed in software recommended by Riegl, also used in [24,25]. First, the initial trajectory is calculated, followed by the calculation of the initial cloud and its alignment.…”

Section: Mls Processingmentioning

confidence: 99%

“…The first approach evaluates the accuracy of the points taken from the computed point clouds to the check points targeted by the total station from the adjusted point network [25,28]. In the second part, the computed point clouds are compared against each other [24,26,34].…”

Section: Mls Accuracy Evaluationmentioning

confidence: 99%

“…This includes calculating the deviations and displaying them on graphs and maps. In addition, the clouds were compared with each other, the spatial deviations were calculated, and a map of the point cloud differences was made [24,26].…”

Section: Point Cloud Accuracy Evaluationmentioning

confidence: 99%

“…A big issue in mobile mapping is accuracy. In particular, the dependence of accuracy on the frequency and distribution of control points [24,25].…”

Section: Introductionmentioning

confidence: 99%

“…The work [26] compares mobile scanners in a point field that is 1.7 km long with a ground control point density of 1 point per 200 m. The determined accuracy is calculated from the differences between the measured MMS point cloud and the point cloud measured by the terrestrial static scanner and is around 2 cm. The papers [24,27] deal mainly with comparisons between an MMS cloud and another cloud obtained by scanning with another device, dealing with point densities and relative accuracies. The calculated standard deviations are in the range of millimetres.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Optimizing Mobile Laser Scanning Accuracy for Urban Applications: A Comparison by Strategy of Different Measured Ground Points

Běloch,

Pavelka

2024

Applied Sciences

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Mobile mapping systems are part of modern data collection in geodesy. It is one of many surveying methods where field collection is performed in a short time. Among their advantages are cost savings and better visualisation than classic surveying methods. This article is focused on accuracy determinations in urban built-up areas of mobile laser scanning using the Riegl VMX-2HA system. These areas, where there is a combination of dense housing and trees, are an integral part of cities. Their diversity and complexity make surveying by other surveying methods time-consuming and complicated. In particular, the GNSS RTK method encounters problematic locations where sky obscuration by surrounding elements reduces measurement accuracy. Data collection was performed on a test base in the city of Pilsen, Czech Republic. The base includes 27 control points and more than 100 checkpoints. Two sets of coordinates were created for the points; the first set is calculated using tied net adjustment and the second one is determined by RTK GNSS measurements. Point cloud calculations were processed in RiPROCESS software from Riegl, using different configurations and qualities of the control points. Each point cloud was analysed including the determination of point cloud deviations. This article is also dedicated to the identification of problematic spots, where measurement can be degraded. The results presented in this paper show the influence of the quality and different spacing of the control points on the point cloud, its accuracy compared to the precise points, and the global and local deformation of the point cloud. This work can be used as a basis for replacing classical surveying methods with a more efficient mobile laser scanning method.

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Section: Mls Processingmentioning

confidence: 99%