Integration of high-precision UAV laser scanning and terrestrial scanning measurements for determining the shape of a water tower

Lenda, Grzegorz; Marmol, Urszula

doi:10.1016/j.measurement.2023.113178

Cited by 7 publications

(4 citation statements)

References 42 publications

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“…These differences may arise due to noise within the 3D model point cloud or due to the reflective properties of the cabin's material. It has been suggested by other researchers that the reflective surface can potentially interfere with the accuracy of optical imaging readings, including shiny, mirror-like surfaces and very dark materials [20][21][22][23][24]. Based on the above discussion, the quality of the resulting 3D model point cloud visualisation can be summarised in Table II.…”

Section: And Discussionmentioning

confidence: 96%

3D Indoor Crime Scene Reconstruction from Micro UAV Photogrammetry Technique

Sazaly,

Mohd Ariff,

Razali

2023

Eng. Technol. Appl. Sci. Res.

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The application of micro Unmanned Aerial Vehicles (UAVs) in photogrammetry, particularly within the realm of forensic investigation represents a relatively novel approach and has gained increased attention. By measuring the distances and positions of the scene’s components, it is feasible to document and visualize the scene using the photographs that were taken for the purpose of assisting investigators. Capturing accurate crime scene data within a short time frame is always a challenge. Conventionally, photographs were used to document the scene, but the technical qualities of the photographs depended on the skill of the present forensic personnel. The use of 3-Dimensional (3D) photogrammetry enables the production of highly realistic and detailed 3D documentation of a given scene. As this technique involves capturing a series of photographs, it can be a time-consuming process. Therefore, this study aims to explore an alternative approach that enables the rapid acquisition of the scene while preserving the intricate details, thus ensuring efficiency without compromising the accuracy of the resulting documentation. The study employs a methodological approach wherein data are collected from a simulated crime scene situated within a confined and hard-to-reach area. The data collection is facilitated through the utilization of micro UAVs. The acquired data are then processed utilizing photogrammetry software, leading to the generation of a 3D model point cloud. The collected data will be subjected to a comparative analysis with data generated using a Terrestrial Laser Scanner (TLS) as a reference, alongside Vernier Calliper (VC) measurements. The findings indicate that the Root Mean Square Error (RMSE) of the integrated point clouds from TLS and micro UAVs compared to the conventional method is approximately ±0.217 cm. It can be deduced that the integration of data derived from micro UAVs and TLS in forensic photogrammetry within a confined crime scene is viable and yields a high-precision 3D model point cloud.

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Section: And Discussionmentioning

confidence: 96%

3D Indoor Crime Scene Reconstruction from Micro UAV Photogrammetry Technique

Sazaly,

Mohd Ariff,

Razali

2023

Eng. Technol. Appl. Sci. Res.

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“…This can be done by integrating aerial clouds with the terrestrial cloud by performing cloud-to-cloud registration to the terrestrial cloud system. In previous studies [38,57], the authors proved that UAV measurements, both photogrammetric and laser scanning ones, can be integrated with the terrestrial cloud in good conditions with an average registration error of a dozen millimetres. Similar steps have been taken in current studies.…”

Section: Registration Of Point Clouds From All Measurement Methodsmentioning

confidence: 98%

Study of the Precise Determination of Pipeline Geometries Using UAV Scanning Compared to Terrestrial Scanning, Aerial Scanning and UAV Photogrammetry

Lenda,

Borowiec,

Marmol

2023

Sensors

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Transmission pipelines belong to technical infrastructure, the condition of which is subject to periodic monitoring. The research was to verify whether aerial measurement methods, especially UAV laser scanning, could determine the geometric shape of pipelines with a precision similar to that of terrestrial scanning, adopted as a reference method. The test object was a section of a district heating pipeline with two types of surfaces: matte and glossy. The pipeline was measured using four methods: terrestrial scanning, airborne scanning, UAV scanning and the structure from motion method. Then, based on the reference terrestrial scanning data, pipeline models were created, with which all methods were compared. The comparison made it possible to find that only the UAV scanning yielded results consistent with those of the terrestrial scanning for all the pipes. The differences usually did not exceed 10 mm, sometimes reaching 20 mm. The structure from motion method yielded unstable results. For the old, matte pipes, the results were similar to those of the UAV scan; however, for the new, shiny pipes, the differences were up to 60 mm.

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“…The application of UAVs replaces manual detection and shutdown maintenance, making regular inspections of wind turbines possible [35]. UAVs are also increasingly employed in other inspection processes, such as power transmission lines [36], pipelines [37], dams [38], and water towers [39]. This technology has become a promising solution for labor-intensive, accessibility-challenging, and sometimes dangerous inspection tasks in civil engineering [40].…”

Section: Introductionmentioning

confidence: 99%

A Novel Debonding Damage Identification Approach of Hidden Frame-Supported Glass Curtain Walls Based on UAV-LDV System

Zheng,

Guo,

Zhi

et al. 2024

Applied Sciences

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This study introduces a novel Unmanned Aerial Vehicle-mounted (UAV-mounted) Laser Doppler Vibrometer (LDV) system for detecting debonding damage in Hidden Frame-Supported Glass Curtain Walls (HFSGCW). The established system enables UAVs to transport the LDV to high altitudes for operation. The vibration signals acquired by the UAV-LDV system are decomposed into different energy bands by wavelet packet analysis, and then the occurrence and location of the damage are identified by the Sum of Squared Differences (SSD) of the wavelet packet bands’ energy. This paper investigates the potential factors affecting the performance of the Unmanned Aerial Vehicle-Laser Doppler Vibrometer (UAV-LDV) system, including the arrangement of measuring points, measuring distance, noise level, and wind speed through the first-order natural frequency, the normalized frequency response functions, and the SSD indicator. Experimental and simulation results confirm the effectiveness of the UAV-LDV system, highlighting its advantages over traditional methods by offering remote, non-contact, and efficient debonding detection. This method not only indicates the presence of the damage, as traditional indicators do, but also pinpoints the exact location of it, ensuring safety and cost-effectiveness in high-rise inspections. The proposed method and indicator offer advantages in terms of convenience, visualization, and efficiency. The study discusses the impact of measurement point arrangement, measuring distance, noise levels, and wind speed on the system’s performance. The findings demonstrate that while the UAV-LDV system introduces new capabilities in rapid and reliable structural damage assessment, operational challenges such as wind and noise levels significantly influence its accuracy.

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Integration of high-precision UAV laser scanning and terrestrial scanning measurements for determining the shape of a water tower

Cited by 7 publications

References 42 publications

3D Indoor Crime Scene Reconstruction from Micro UAV Photogrammetry Technique

3D Indoor Crime Scene Reconstruction from Micro UAV Photogrammetry Technique

Study of the Precise Determination of Pipeline Geometries Using UAV Scanning Compared to Terrestrial Scanning, Aerial Scanning and UAV Photogrammetry

A Novel Debonding Damage Identification Approach of Hidden Frame-Supported Glass Curtain Walls Based on UAV-LDV System

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