UAV photogrammetry for volume calculations

Kokamägi, Kaupo; Türk, Kristina; Liba, Natalja

doi:10.15159/ar.20.213

Cited by 3 publications

(6 citation statements)

References 4 publications

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“…It is also known as an unmanned aerial system. The development of UAV has grown rapidly in many sectors with a wide range of fields for many applications [6]. UAV have undergone rapid development both in the public sector and the military.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The percentage different between photogrammetric and GPS methods in cut and fill engineering work should be ± 3%. If the percentage volume difference is more than 3%, the photogrammetric method is out of tolerance for the requirement in cut and fill [6]. The closest to the zero percentage, the less the different volume between the referenced.…”

Section: Figure 17 Difference On Volume Percentagementioning

confidence: 99%

“…The UAV technology nowadays offers a great output for any type of engineering, architecture, and mapping work including volume calculation and earthwork. Therefore, there are many kinds of UAV software that are offering a high accuracy for volume calculation and estimation [6]. The purpose of this study is to compare the best software for volume estimation in order to help the company is choosing the best UAV software for stockpile volume estimation.Based on the literature review conducted, the UAV output accuracy is affected by different amounts of GCP and photos taken [1].…”

Section: Introductionmentioning

confidence: 99%

“…The purpose of this study is to compare the best software for volume estimation in order to help the company is choosing the best UAV software for stockpile volume estimation.Based on the literature review conducted, the UAV output accuracy is affected by different amounts of GCP and photos taken [1]. Furthermore, the accuracy of UAV during data collection is affected by UAV flying height, digital camera resolution, weather, and so on [6].This in turn will cause the aerial photographs to result in problems in the accuracy of plan metric, vertical height, and volume of the stockpile. Besides, stockpiles shape is in an irregular shape.…”

Section: Introductionmentioning

confidence: 99%

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Assessment of Difference in Structure from Motion for Stockpile Volume Estimation using UAV Approach

Halim,

Rahman,

Maulud

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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The software for processing the photogrammetry software is increasingly capable of producing a high-quality 3D model DEM, DSM, and DTM from an aerial photo and measuring the volume of material. Nowadays, UAV technology has been rapidly used for stockpile volume calculation for the mining and construction industry. The purpose of this study is to compare image processing for the stockpile volume calculation using three different software for the UAV with the conventional method GPS as a reference. The result obtained using GPS is processed using CIVIL3D and act as a base measurement of the stockpile volume to compare result obtain from photogrammetry software which is Pix4D, Agisoft, and SimActives Correlator3D. The analysis of this study compared 3D model for volume calculation from a photo image for each photogrammetry software selected and obtained the result volume calculation for photogrammetry with the accuracy achieving below 3% error from the referenced volume of the stockpile. 12 GCP were placed around the study area to test the difference between the numbers of GCP processing for the volume stockpile results. The image acquisition is taken at 10 meter altitude and 20 meter altitude using UAV Phantom 4 pro and set with Pix4Dcapture circular mission. The processing method is SfM in the 3 photogrammetric selected that have 4 types of processing for each software, 10 meter altitude and 20 meter altitude with 4 GCP and 12 GCP. 12 results of the 3D model and volume of the stockpile was obtained. As for the volume results, the Pix4D 10 meter 4 GCP result obtained the closest volume to the reference. The point cloud generated is also stable based on the cloud compare volume density result. Overall, the study can conclude that not only the altitude of flight affected, and the type of software used is affecting the number of point clouds generated but also the number of GCP.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Figure 17 Difference On Volume Percentagementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Assessment of Difference in Structure from Motion for Stockpile Volume Estimation using UAV Approach

Halim,

Rahman,

Maulud

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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show abstract

“…In another study by Kokamägi et al [57], volume estimates using drone photogrammetry were compared to both TLS (as ground truth) and GNSS. Their results showed volumetric errors of 1% and 6%, when comparing drone and GNSS to TLS, respectively.…”

Section: Drone Photogrammetrymentioning

confidence: 99%

Stockpile Volume Estimation in Open and Confined Environments: A Review

Alsayed,

Nabawy

2023

Drones

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This paper offers a comprehensive review of traditional and advanced stockpile volume-estimation techniques employed within both outdoor and indoor confined spaces, whether that be a terrestrial- or an aerial-based technique. Traditional methods, such as manual measurement and satellite imagery, exhibit limitations in handling irregular or constantly changing stockpiles. On the other hand, more advanced techniques, such as global navigation satellite system (GNSS), terrestrial laser scanning (TLS), drone photogrammetry, and airborne light detection and ranging (LiDAR), have emerged to address these challenges, providing enhanced accuracy and efficiency. Terrestrial techniques relying on GNSS, TLS, and LiDAR offer accurate solutions; however, to minimize or eliminate occlusions, surveyors must access geometrically constrained places, representing a serious safety hazard. With the speedy rise of drone technologies, it was not unexpected that they found their way to the stockpile volume-estimation application, offering advantages such as ease of use, speed, safety, occlusion elimination, and acceptable accuracy compared to current standard methods, such as TLS and GNSS. For outdoor drone missions, image-based approaches, like drone photogrammetry, surpass airborne LiDAR in cost-effectiveness, ease of deployment, and color information, whereas airborne LiDAR becomes advantageous when mapping complex terrain with vegetation cover, mapping during low-light or dusty conditions, and/or detecting small or narrow objects. Indoor missions, on the other hand, face challenges such as low lighting, obstacles, dust, and limited space. For such applications, most studies applied LiDAR sensors mounted on tripods or integrated on rail platforms, whereas very few utilized drone solutions. In fact, the choice of the most suitable technique/approach depends on factors such as site complexity, required accuracy, project cost, and safety considerations. However, this review puts more focus on the potential of drones for stockpile volume estimation in confined spaces, and explores emerging technologies, such as solid-state LiDAR and indoor localization systems, which hold significant promise for the future. Notably, further research and real-world applications of these technologies will be essential for realizing their full potential and overcoming the challenges of operating robots in confined spaces.

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