Comparison of Low Cost Photogrammetric Survey With TLS And
Leica Pegasus Backpack 3d Modelss

Masiero, Andrea; Fissore, Francesca; Guarnieri, Alberto; Piragnolo, Marco; Vettore, Antonio

doi:10.5194/isprs-archives-xlii-2-w8-147-2017

Cited by 13 publications

(14 citation statements)

References 21 publications

(13 reference statements)

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“…These two cases will be referred to as absolute and relative error. This paper extends a previous work presented in [36] providing a much more detailed analysis of both the Pegasus backpack and photogrammetric reconstruction errors. Furthermore, this work considers the use of a larger UWB network, which provided a better metric reconstruction (e.g., a better estimate of the photogrammetric reconstruction scale factor).…”

Section: Introductionsupporting

confidence: 63%

Performance Evaluation of Two Indoor Mapping Systems: Low-Cost UWB-Aided Photogrammetry and Backpack Laser Scanning

et al. 2018

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During the past dozen years, several mobile mapping systems based on the use of imaging and positioning sensors mounted on terrestrial (and aerial) vehicles have been developed. Recently, systems characterized by an increased portability have been proposed in order to enable mobile mapping in environments that are difficult to access for vehicles, in particular for indoor environments. In this work the performance of a low-cost mobile mapping system is compared with that of: (i) a state-of-the-art terrestrial laser scanning (TLS), considered as the control; (ii) a mobile mapping backpack system (Leica Pegasus), which can be considered as the state-of-the-art of commercial mobile mapping backpack systems. The aim of this paper is two-fold: first, assessing the reconstruction accuracy of the proposed low-cost mobile mapping system, based on photogrammetry and ultra-wide band (UWB) for relative positioning (and a GNSS receiver if georeferencing is needed), with respect to a TLS survey in an indoor environment, where the global navigation satellite system (GNSS) signal is not available; second, comparing such performance with that obtained with the Leica backpack. Both mobile mapping systems are designed to work without any control point, to enable an easy and quick survey (e.g., few minutes) and to be easily portable (relatively low weight and small size). The case study deals with the 3D reconstruction of a medieval bastion in Padua, Italy. Reconstruction using the Leica Pegasus backpack allowed obtaining a smaller absolute error with respect to the UWB-based photogrammetric system. In georeferenced coordinates, the root mean square (RMS) error was respectively 16.1 cm and 50.3 cm; relative error in local coordinates was more similar, respectively 8.2 cm and 6.1 cm. Given the much lower cost (approximately $6k), the proposed photogrammetric-based system can be an interesting alternative when decimetric reconstruction accuracy in georeferenced coordinates is sufficient.

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Section: Introductionsupporting

confidence: 63%

Performance Evaluation of Two Indoor Mapping Systems: Low-Cost UWB-Aided Photogrammetry and Backpack Laser Scanning

et al. 2018

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“…In the following, this system will be referred to as the backpack laser scanner (BPLS). The BPLS system has similar laser instrumentation as the Leica Pegasus backpack tested by Masiero et al [19].…”

Section: Introductionmentioning

confidence: 99%

Comparing Three Different Ground Based Laser Scanning Methods for Tree Stem Detection

et al. 2018

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Abstract:A forest inventory is often carried out using airborne laser data combined with ground measured reference data. Traditionally, the ground reference data have been collected manually with a caliper combined with land surveying equipment. During recent years, studies have shown that the caliper can be replaced by equipment and methods that capture the ground reference data more efficiently. In this study, we compare three different ground based laser measurement methods: terrestrial laser scanner, handheld laser scanner and a backpack laser scanner. All methods are compared with traditional measurements. The study area is located in southeastern Norway and divided into seven different locations with different terrain morphological characteristics and tree density. The main tree species are boreal, dominated by Norway spruce and Scots pine. To compare the different methods, we analyze the estimated tree stem diameter, tree position and data capture efficiency. The backpack laser scanning method captures the data in one operation. For this method, the estimated diameter at breast height has the smallest mean differences of 0.1 cm, the smallest root mean square error of 2.2 cm and the highest number of detected trees with 87.5%, compared to the handheld laser scanner method and the terrestrial laser scanning method. We conclude that the backpack laser scanner method has the most efficient data capture and can detect the largest number of trees.

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“…Of course, IMMS models can be compared with models from SfM-based photogrammetric surveying, while keeping statically acquired TLS data as a reference, as reported for example in [13].…”

Section: Introductionmentioning

confidence: 99%

Examination of Indoor Mobile Mapping Systems in a Diversified Internal/External Test Field

et al. 2018

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Nowadays, simultaneous localization and mapping (SLAM) algorithms support several commercial sensors which have recently been introduced to the market, and, like the more common mobile mapping systems (MMSs), are designed to acquire three-dimensional and high-resolution point clouds. The new systems are said to work both in external and internal environments, and completely avoid the use of targets and control points. The possibility of increasing productivity in three-dimensional digitization projects is fascinating, but data quality needs to be carefully evaluated to define appropriate fields of application. The paper presents the analytical measurement principle of these indoor mobile mapping systems (IMMSs) and the results of some tests performed on three commercial systems. A common test field was defined in order to acquire comparable data. By taking the already available terrestrial laser scan survey as the ground truth, the datasets under examination were compared with the reference and some assessments are presented which consider both quantitative and qualitative aspects. Geometric deformation in the final models was computed using the so-called Multiscale Model to Model Cloud Comparison (M3C2) algorithm. Cross sections and cloud to mesh (C2M) distances were also employed for a more detailed analysis. The real usability assessment is based on the features of recognizability, double surface evidence, and visualization effectiveness. For these evaluations, comparative images and tables are presented.

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Comparison of Low Cost Photogrammetric Survey With TLS And Leica Pegasus Backpack 3d Modelss

Cited by 13 publications

References 21 publications

Performance Evaluation of Two Indoor Mapping Systems: Low-Cost UWB-Aided Photogrammetry and Backpack Laser Scanning

Performance Evaluation of Two Indoor Mapping Systems: Low-Cost UWB-Aided Photogrammetry and Backpack Laser Scanning

Comparing Three Different Ground Based Laser Scanning Methods for Tree Stem Detection

Examination of Indoor Mobile Mapping Systems in a Diversified Internal/External Test Field

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