Image-based semantic construction reconstruction

Liu, Chin-Wei; Wu, Tzong-Hann; Tsai, Meng‐Han; Kang, Shih-Chung

doi:10.1016/j.autcon.2018.02.016

Cited by 18 publications

(19 citation statements)

References 27 publications

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“…From the programmer's point of view, it is to study the method of automating this process. In the computer field, the current research mainly focuses on semantic description, semantic classification methods, semantic knowledge base, semantic map, semantic layer interpretation strategy and the construction of knowledge semantic model under the Semantic Web (Collarana et al, 2017;Liu et al, 2018;S. Wang et al, 2018).…”

Section: Semantics Concept and Constructionmentioning

confidence: 99%

A Survey of Semantic Construction and Application of Satellite Remote Sensing Images and Data

Liu

et al. 2021

Journal of Organizational and End User Computing

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With the rapid development of satellite technology, remote sensing data has entered the era of big data, and the intelligent processing of remote sensing image has been paid more and more attention. Through the semantic research of remote sensing data, the processing ability of remote sensing data is greatly improved. This paper aims to introduce and analyze the research and application progress of remote sensing image satellite data processing from the perspective of semantic. Firstly, it introduces the characteristics and semantic knowledge of remote sensing big data; Secondly, the semantic concept, semantic construction and application fields are introduced in detail; then, for remote sensing big data, the technical progress in the study field of semantic construction is analyzed from four aspects: semantic description and understanding, semantic segmentation, semantic classification and semantic search, focusing on deep learning technology; Finally, the problems and challenges in the four aspects are discussed in detail, in order to find more directions to explore.

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Section: Semantics Concept and Constructionmentioning

confidence: 99%

A Survey of Semantic Construction and Application of Satellite Remote Sensing Images and Data

Liu

et al. 2021

Journal of Organizational and End User Computing

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“…Kim et al (2017) developed an AR system to provide workers safety information to avoid hazards. Liu et al, 2018 deployed AR technologies to give the workers alarms of dangers from falling. The authors are committed to the implementation of AR to increase the safety of workers.…”

Section: Site Safetymentioning

confidence: 99%

“…Akhavian and Behzadan (2012) developed a framework driven by data to collect real-time field data and visualize dynamic 3D simulations of engineering activities. Liu et al (2018) developed a rapid construction site information acquisition method to conduct dynamic site layout planning. Besides overcoming technical difficulties, performance-based FIGURE 6 | Connecting AR devices with sensors (Aguero et al, 2020).…”

Section: Site Safetymentioning

confidence: 99%

A Review of Augmented Reality Applications in Civil Infrastructure During the 4th Industrial Revolution

Moreu²

2021

Front. Built Environ.

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The 4th industrial revolution started in 2016 and referred to a new phase in the industrial revolution. One of the most significant technological evolvements during the 4th industrial revolution is Augmented Reality (AR) technology. AR superimposes interactional virtual objects/images to real environments. Because of the interaction and see-through characteristics, AR is better applied to engineering than Virtual Reality (VR). The application of AR in civil infrastructure can avoid artificial mistakes, improve efficiency, and saves budget. This article reviews AR applications in civil infrastructure, focusing on research studies in the latest five years (2016–2020) and their milestone developments. More than half of the AR research and implementation studies have focused on the construction domain in the last five years. Researchers deploy AR technologies in on-site construction to assist in discrepancy checking, collaborative communication, and safety checking. AR also uses building information models (BIMs) to produce detailed 3D structural information for visualization. Additionally, AR has been studied for structural health monitoring (SHM), routine and damage detection, energy performance assessment, crack inspection, excavation, and underground utility maintenance. Finally, AR has also been applied for architecture design, city plan, and disaster prediction as an essential part of smart city service. This article discusses the challenges of AR implementation in civil infrastructure and recommends future applications.

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“…The problem of deviations from the original constructions of buildings, which are not well documented, is solved for reconstruction or demolition by a newly developed model, which is presented by Volk et al [41]. Researchers are also trying to create virtual reality tools for planning work, which can, according to Liu et al [42], significantly increase the quality and reduce the prices of reconstruction or construction works. One example is a three-dimensional terrain reconstruction system using stereo cameras [43]; or a three-dimensional reconstruction of the roofs of buildings in larger units, as introduced by Awrangjeb, Gilani, and Siddiquim [44].…”

Section: Literary Researchmentioning

confidence: 99%

Determining the Increase in a Building’s Appreciation Rate Due to a Reconstruction

et al. 2020

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The reconstruction of buildings generally prolongs their useful life, increases their utility value, and last but not least, leads to an increase in their value. These assumptions only apply if an independent third party reaches the same conclusion together with the owner. However, the undesirable effect of the reconstruction of a building may be a decrease in its value. The aim of this contribution is to determine the change in value of an older sample building assessed in the included case study as a result of its reconstruction. Valuation methods are applied, which, as it turns out, reveal the inaccuracy of the subjective view of the person who reconstructed the building. The resulting change in the value of the sample building is discussed from the point of view of the applied valuation methods and other value-creating aspects (subjective view of the owner on the value of the building, historical value of the building, etc.). The contribution concludes with recommendations for maximizing the increase in value of a property through its reconstruction so as to eliminate the risk of a decrease in its value.

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Image-based semantic construction reconstruction

Cited by 18 publications

References 27 publications

A Survey of Semantic Construction and Application of Satellite Remote Sensing Images and Data

A Survey of Semantic Construction and Application of Satellite Remote Sensing Images and Data

A Review of Augmented Reality Applications in Civil Infrastructure During the 4th Industrial Revolution

Determining the Increase in a Building’s Appreciation Rate Due to a Reconstruction

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