Lab-built terrestrial laser scanner self-calibration using mounting angle error correction

Li, Xiaolu; Li, Yunye; Xie, Xinhao; Xu, Lijun

doi:10.1364/oe.26.014444

Cited by 9 publications

(7 citation statements)

References 16 publications

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“…The accuracy of TLS measurements ranges from several centimetres up to submillimetre-level [49,50], however, it depends on many factors including the environment conditions, properties of a tested object, instrumental errors [51][52][53], as well as scanning geometry [54]. Some of them can be eliminated or minimised either by applying corrections to measured angles and distances or using the system's calibration [55,56].…”

Section: Terrestrial Laser Scanningmentioning

confidence: 99%

The Quality Assessment of Different Geolocalisation Methods for a Sensor System to Monitor Structural Health of Monumental Objects

Markiewicz

Łapiński

Kot

et al. 2020

Sensors

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Cultural heritage objects are affected by a wide range of factors causing their deterioration and decay over time such as ground deformations, changes in hydrographic conditions, vibrations or excess of moisture, which can cause scratches and cracks formation in the case of historic buildings. The electromagnetic spectroscopy has been widely used for non-destructive structural health monitoring of concrete structures. However, the limitation of this technology is a lack of geolocalisation in the space for multispectral architectural documentation. The aim of this study is to examine different geolocalisation methods in order to determine the position of the sensor system, which will then allow to georeference the results of measurements performed by this device and apply corrections to the sensor response, which is a crucial element required for further data processing related to the object structure and its features. The classical surveying, terrestrial laser scanning (TLS), and Structure-from-Motion (SfM) photogrammetry methods were used in this investigation at three test sites. The methods were reviewed and investigated. The results indicated that TLS technique should be applied for simple structures and plain textures, while the SfM technique should be used for marble-based and other translucent or semi-translucent structures in order to achieve the highest accuracy for geolocalisation of the proposed sensor system.

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Section: Terrestrial Laser Scanningmentioning

confidence: 99%

The Quality Assessment of Different Geolocalisation Methods for a Sensor System to Monitor Structural Health of Monumental Objects

Markiewicz

Łapiński

Kot

et al. 2020

Sensors

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“…A pulse TOF LiDAR system was constructed (reported in previous literature), consisting of three main parts: the emitting and receiving unit, the detection unit, and the ranging unit [13,25]. In the emitting and receiving unit, a solid-state Q-switched Nd:YAG laser was employed as the laser emitter, sending out pulses of 16.6 µJ energy, 1064 nm wavelength and 10 ns half-maximum width.…”

Section: Lab-built Lidar Systemmentioning

confidence: 99%

Factors influencing assessment in a TDC-based ranging system

Luo

2019

Meas. Sci. Technol.

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Light detection and ranging (LiDAR), based on a time-to-digital converter (TDC) is an important technique for measuring the distance between a laser transmitter and its target. It is known that by decreasing the probability of trigger error, ranging precision will be improved. Based on a lab-designed APD detection circuit, noise analysis was deduced. Based on statistics and probability theory, the relationships among the probability of noise trigger error, reference voltage and noise were established. Then a given desired error probability (estimated via theoretical time jitter), the reference voltage of a TDC-based ranging system, can be properly designed based on the root mean square (RMS) noise. Extensive simulation and experimental results indicated that the reference voltage involved in a lab-scale TDC-based ranging system should be set to larger than five times RMS noise for an acceptable error probability of 0.01%. Thus, reasonable circuit parameter design can decrease time jitter, reduce the likelihood of noise trigger error, and further improve the ranging precision of a LiDAR system.

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“…In recent years, significant advances in laser measurement technology and the introduction of innovative scanning equipment [1,2] have increased the accuracy and reliability of point clouds. The redundancy, rotational invariance, and lack of topological relationships between points in point clouds make it a powerful and flexible medium for representing the surface morphology of objects.…”

Section: Introductionmentioning

confidence: 99%

An Accurate and Efficient Supervoxel Re-Segmentation Approach for Large-Scale Point Clouds Using Plane Constraints

et al. 2023

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The accurate and efficient segmentation of large-scale urban point clouds is crucial for many higher-level tasks, such as boundary line extraction, point cloud registration, and deformation measurement. In this paper, we propose a novel supervoxel segmentation approach to address the problem of under-segmentation in local regions of point clouds at various resolutions. Our approach introduces distance constraints from boundary points to supervoxel planes in the merging stage to enhance boundary segmentation accuracy between non-coplanar supervoxels. Additionally, supervoxels with roughness above a threshold are re-segmented using random sample consensus (RANSAC) to address multi-planar coupling within local areas of the point clouds. We tested the proposed method on two publicly available large-scale point cloud datasets. The results show that the new method outperforms two classical methods in terms of boundary recall, under-segmentation error, and average entropy in urban scenes.

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Lab-built terrestrial laser scanner self-calibration using mounting angle error correction

Cited by 9 publications

References 16 publications

The Quality Assessment of Different Geolocalisation Methods for a Sensor System to Monitor Structural Health of Monumental Objects

The Quality Assessment of Different Geolocalisation Methods for a Sensor System to Monitor Structural Health of Monumental Objects

Factors influencing assessment in a TDC-based ranging system

An Accurate and Efficient Supervoxel Re-Segmentation Approach for Large-Scale Point Clouds Using Plane Constraints

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