Algorithms of Laser Scanner Data Processing for Ground Surface Reconstruction

Badenko, Vladimir; Fedotov, Alexander; Виноградов, К. А.

doi:10.1007/978-3-319-95165-2_28

Cited by 13 publications

(5 citation statements)

References 33 publications

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“…Experience in the development of methods and algorithms for processing hybrid data of laser scanning and photography has shown that the resulting point clouds without noise and clutter are of great practical importance [50][51][52][53]. The main di culties when working with such clouds are associated with the fact that the initial data stream is very heterogeneous, in three-dimensional space only the surfaces of objects are obtained and point clouds are huge.…”

Section: State Of the Artmentioning

confidence: 99%

Method for clustering and identification of objects in laser scanning point clouds using dynamic logic

Milanov

Badenko

Yadykin

et al. 2021

Int J Adv Manuf Technol

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Today there is a gap between a presence of various new equipment on the market which provides streams of various digital data about the environment, in particular in the form of laser scanning point clouds, and the lack of adequate e cient methods and software for information extraction from such data. A solution to the problem of bridging this gap is proposed on the basis of neural modeling eld theory and dynamic logic (DL). We present a DL-based method of extracting and analyzing information from hybrid point clouds, which include not only spatial coordinates and intensity, but also the color of each point, and can be from multiple sources including terrestrial, mobile and airborne laser scanning data. The proposed method is signi cant for creating a fundamental theoretical basis for new application algorithms and software for many new applications, including building information modeling, "smart city" environment, etc. The proposed method is fairly new to solving various problems related to extracting semantically rich information from a nontraditional type of digital data, especially hybrid point clouds created from laser scanning. This method will allow to signi cantly expand the existing boundaries of knowledge in the eld of extraction and analysis of information from various digital data, because neural modeling eld theory and DL can improve the performance of relevant calculations and close the existing gap in analysis of digital images.

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Section: State Of the Artmentioning

confidence: 99%

Method for clustering and identification of objects in laser scanning point clouds using dynamic logic

Milanov

Badenko

Yadykin

et al. 2021

Int J Adv Manuf Technol

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“…According to [1,10], these technologies are intended for the digital representation of different objects but simultaneously related to parts of the same physical asset. Nevertheless, they are developed in parallel and often without interconnection, despite a close physical connection between both domains [5,12]. Currently, the digital technologies of BIM and DS are hardly even associated in terms of the FoF, caused by the fact that their data is very heterogeneous.…”

Section: Potentials Of the Integration Of Bim And Dsmentioning

confidence: 99%

“…It is de ned as a system of integrated engineering domains such as production infrastructure, production processes and the product [2]. In the FoF, the Digital Shadow technology refers to the production process and the product, while Building Information Modelling provides digitalization of the production infrastructure [5,6]. The FoF supports the entire production lifecycle from the development and planning stage and ends with the creation of a Digital Shadow [4], a BIM model and the concept of a smart and virtual factory [7].…”

Section: Factory Of the Futurementioning

confidence: 99%

Integration concept of Digital Shadows and BIM for a long-term optimal decision support in factory planning

Badenko

Bolshakov

Fedotov

et al. 2021

Preprint

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Industrial objects nowadays rapidly transform due to the development of digital technologies. The concept of the Factory of the Future (FoF) involves digitization of all parts of the factory. In this paper two technologies are motivated and considered as the basic technologies that should be used in FoF: Digital Shadow (DS) and Building Information Modelling (BIM). Basic theory on these issues is given and potentials of BIM and DS integration is formulated. Based on the ability of digital technologies, their integration and convergence to generate value, definition Digital Asset is introduced from the economic point of view as a digital resource which brings economic benefit. A concept of integrating BIM and DS technologies for decision support in factory planning is formulated, including Life Cycle Assessment (LCA) and semantic modeling. The concept includes a description of the aggregate of technologies and their interconnections as a Digital Asset of the FoF. Further research objectives are focused on integration of BIM and DS which requires their interoperability ensured by an Ontology-Based Data Access (OBDA) approach, based on the Semantic web.

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“…In this paper, based on the experience of developing hybrid laser scanning systems [28][29][30], it is proposed to use radio-frequency technologies to solve the problem of positioning within objects under construction [33][34][35][36][37][38]. The methods proposed for development will allow achieving centimeter positioning accuracy and creating hardware and software complexes for seamless positioning of objects inside the premises to ensure the implementation of the principle "always and everywhere".…”

Section: Introductionmentioning

confidence: 99%

Information system for seamless positioning inside of objects under construction

2018

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Methods for seamless positioning of objects inside objects under construction to ensure the implementation of the principle “always and everywhere” and achieving centimetre positioning accuracy is proposed. The current state of work on the development of experimental samples of hardware and software complexes for seamless indoor and outdoor positioning of objects is presented. It is proposed to use radio-frequency technologies to solve the problem. The main methodological approaches and their first implementations are presented. The main feature of algorithms proposed is the implementation of a seamless transition when determining the position of the object in indoor and outdoor space with usage of an inertial system and radio-frequency positioning systems (in real time regime and without real time regime).

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Algorithms of Laser Scanner Data Processing for Ground Surface Reconstruction

Cited by 13 publications

References 33 publications

Method for clustering and identification of objects in laser scanning point clouds using dynamic logic

Method for clustering and identification of objects in laser scanning point clouds using dynamic logic

Integration concept of Digital Shadows and BIM for a long-term optimal decision support in factory planning

Information system for seamless positioning inside of objects under construction

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