Hybrid Algorithms of Laser Scanning Point Cloud for Topological Analysis

Int J Adv Manuf Technol

Yadykin

et al. 2021

Self Cite

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.

Section: State Of the Artmentioning

confidence: 99%

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

Milanov

Int J Adv Manuf Technol

Yadykin

et al. 2021

Self Cite

“…The advantages of digitalization of the entire production environment refer to the entire life cycle of factories and their products equally, since essential long-term decisions and adjustments can be made with higher planning quality and reliability based on the data obtained from the Digital Shadow and the BIM of the FoF (e.g. the optimization of the trajectories of transportation vehicles and workers [9]). Therefore, the issue regarding the role and place of the concept of the FoF in the formation of production assets is actively discussed by the scienti c community and businesses, but it has not yet been su ciently developed.…”

Section: Potentials Of the Integration Of Bim And Dsmentioning

confidence: 99%

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

Bolshakov

Fedotov

et al. 2021

Preprint

Self Cite

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.

“…All type of laser scanning technologies (terrestrial, mobile, airborne) are a very popular and powerful tool for urban territory surveys to collect data during Smart City projects implementation (Balado et al, 2018;Hu et al, 2018;Li et al, 2018;Julin et al, 2018;Badenko et al, 2019;Yang and Lee, 2019). Airborne LIDAR (Light Identification Detection and Ranging) is one of the optimal modern surveying methods for urban environment (Jochem et al, 2012;Tomljenovic et al, 2015;Yan et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Comparison of Software for Airborne Laser Scanning Data Processing in Smart City Applications

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

Zotov

Muromtseva

et al. 2019

<p><strong>Abstract.</strong> Problems of processing of point clouds of airborne laser scanning using different software for Smart City projects are considered. Results of comparison of suitable software on the base of a test point cloud are presented. For comparison we had chosen a criterion for how results of point cloud processing can be used in the smart city application. The following software were chosen for comparison: Erdas IMAGINE, ENVI Lidar, TerraSolid (without Terraslave), GlobalMapper, Autodesk InfraWorks. Comparison have been conducted in qualitative and quantitative terms. The results presented allowed us to create recommendations on the usage of specific software for airborne laser scanning data processing for Smart City projects.</p>