Image-based modeling of built environment from an unmanned aerial system

Rodríguez‐Gonzálvez, Pablo; Aguilera, Diego González; Lopez-Jimenez, Gemma; Picon-Cabrera, Inmaculada

doi:10.1016/j.autcon.2014.08.010

Cited by 44 publications

(13 citation statements)

References 25 publications

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“…The first mode (manual) is used when no flight planning is available, while stop and cruising modes require planning. Both stop mode [23] and cruising mode [21] have been used for multi-rotor UAV. However, flying in cruising mode has a substantial impact on the use of these types of UAV because cruising mode can reduce the flight time required by 75% [24].…”

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confidence: 99%

Assessing Optimal Flight Parameters for Generating Accurate Multispectral Orthomosaicks by UAV to Support Site-Specific Crop Management

et al. 2015

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This article describes the technical specifications and configuration of a multirotor unmanned aerial vehicle (UAV) to acquire remote images using a six-band multispectral sensor. Several flight missions were programmed as follows: three flight altitudes (60, 80 and 100 m), two flight modes (stop and cruising modes) and two ground control point (GCP) settings were considered to analyze the influence of these parameters on the spatial resolution and spectral discrimination of multispectral orthomosaicked images obtained using Pix4Dmapper. Moreover, it is also necessary to consider the area to be covered or the flight duration according to any flight mission programmed. The effect of the combination of all these parameters on the spatial resolution and spectral discrimination of the orthomosaicks is presented. Spectral discrimination has been evaluated for a specific agronomical purpose: to use the UAV remote images for the detection of bare soil and vegetation (crop and weeds) for in-season site-specific weed management. These results show that a balance between spatial resolution and spectral discrimination is needed to optimize the mission planning and image processing to achieve OPEN ACCESS Remote Sens. 2015, 7 12794 every agronomic objective. In this way, users do not have to sacrifice flying at low altitudes to cover the whole area of interest completely.

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confidence: 99%

Assessing Optimal Flight Parameters for Generating Accurate Multispectral Orthomosaicks by UAV to Support Site-Specific Crop Management

et al. 2015

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“…Considering a point cloud of n points with coordinates x, y, z where x m , y m , z m are the centroid coordinates, the covariance matrix (2) for each of them is calculated from the matrix of points (W). The covariance matrix (C) has the values of the variance in the principal diagonal (2). By the diagonalization process of matrix C, the eigenvectors of the covariance matrix are obtained, and as a result, the three eigenvalues (λ 1 , λ 2 , λ 3 ).…”

Section: Feature Extraction Of Floor and Wallsmentioning

confidence: 99%

“…Traditionally, geomatics techniques have been used mainly for the determination and recording of terrain and outdoor scenarios in surveying engineering. However, they also can be applied in industrial context and energy applications [1][2][3][4]. In this way, geomatics techniques can be used to generate three-dimensional models of large and complex scenes as nuclear power plants [5], the generation of as-built models in architecture [6,7] or, even, for metrological tasks related with the quality assessment of products [8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Validation of Portable Mobile Mapping System for Inspection Tasks in Thermal and Fluid–Mechanical Facilities

et al. 2019

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The three-dimensional registration of industrial facilities has a great importance for maintenance, inspection, and safety tasks and it is a starting point for new improvements and expansions in the industrial facilities context. In this paper, a comparison between the results obtained using a novel portable mobile mapping system (PMMS) and a static terrestrial laser scanner (TLS), widely used for 3D reconstruction in civil and industrial scenarios, is carried out. This comparison is performed in the context of industrial inspection tasks, specifically in the thermal and fluid-mechanics facilities in a hospital. The comparison addresses the general reconstruction of a machine room, focusing on the quantitative and qualitative analysis of different elements (e.g., valves, regulation systems, burner systems and tanks, etc.). The validation of the PMMS is provided considering the TLS as ground truth and applying a robust statistical analysis. Results come to confirm the suitability of the PMMS to perform inspection tasks in industrial facilities.

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“…2D drawings (as-designed) Design 3D models (as-designed) Design/construction prototyping [2,3] Site layout planning [4] Crane path and lift planning [5] Images/videos (as-built) Site inspection and reporting As-built modeling [6,7] Progress monitoring [8] Laser scanning (as-built) As-built modeling [9][10][11] Progress monitoring [8] Satellite images, topographic data, et al in GIS (environmental)…”

Section: Data Usagementioning

confidence: 99%

Google Earth Augmented for Earthwork Construction Planning

Li¹,

Lu²,

Wales³

2019

Geographic Information Systems and Science

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This chapter introduces GoogleEarthWork which is an augmented geographic information system (GIS) based on Google Earth to manage and visualize heterogeneous site information, especially 3D models, aerial and ground images, panoramas, and GIS data of the site environment. The concept is to realize a highly automated end-to-end earthwork construction planning system that is able to generate project management deliverables from heterogeneous information and enhance the usefulness and intelligence of GIS for better project planning and control in earthwork construction. With identified constraints from the augmented Google Earth, the earthwork planning problem is formulated, and an optimized executable plan can be automatically generated, including work breakdown structure and project network model. Demonstration cases are provided to prove concepts of and illustrate functionalities of GoogleEarthWork in support of earthwork construction planning in realistic settings.

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Image-based modeling of built environment from an unmanned aerial system

Cited by 44 publications

References 25 publications

Assessing Optimal Flight Parameters for Generating Accurate Multispectral Orthomosaicks by UAV to Support Site-Specific Crop Management

Assessing Optimal Flight Parameters for Generating Accurate Multispectral Orthomosaicks by UAV to Support Site-Specific Crop Management

Validation of Portable Mobile Mapping System for Inspection Tasks in Thermal and Fluid–Mechanical Facilities

Google Earth Augmented for Earthwork Construction Planning

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