scholarly journals Indoor and Outdoor Backpack Mapping with Calibrated Pair of Velodyne LiDARs

Sensors ◽  
2019 ◽  
Vol 19 (18) ◽  
pp. 3944 ◽  
Author(s):  
Martin Velas ◽  
Michal Spanel ◽  
Tomas Sleziak ◽  
Jiri Habrovec ◽  
Adam Herout
Keyword(s):  
Point Cloud ◽  
Large Scale ◽  
Laser Intensity ◽  
Information Modeling ◽  
Indoor Environments ◽  
Data Density ◽  
Universal Solution ◽  
Building Information ◽  
Sufficient Precision ◽  
Indoor And Outdoor

This paper presents a human-carried mapping backpack based on a pair of Velodyne LiDAR scanners. Our system is a universal solution for both large scale outdoor and smaller indoor environments. It benefits from a combination of two LiDAR scanners, which makes the odometry estimation more precise. The scanners are mounted under different angles, thus a larger space around the backpack is scanned. By fusion with GNSS/INS sub-system, the mapping of featureless environments and the georeferencing of resulting point cloud is possible. By deploying SoA methods for registration and the loop closure optimization, it provides sufficient precision for many applications in BIM (Building Information Modeling), inventory check, construction planning, etc. In our indoor experiments, we evaluated our proposed backpack against ZEB-1 solution, using FARO terrestrial scanner as the reference, yielding similar results in terms of precision, while our system provides higher data density, laser intensity readings, and scalability for large environments.

scholarly journals Visualizing Large-Scale Building Information Modeling Models within Indoor and Outdoor Environments Using a Semantics-Based Method

2021 ◽  
Vol 10 (11) ◽  
pp. 756
Author(s):  
Qingxiang Chen ◽  
Jing Chen ◽  
Wumeng Huang
Keyword(s):  
Large Scale ◽  
Building Information Modeling ◽  
Information Modeling ◽  
Outdoor Environment ◽  
City Development ◽  
Outdoor Environments ◽  
Building Information ◽  
Virtual Globes ◽  
Indoor And Outdoor Environments ◽  
Indoor And Outdoor

Building information modeling (BIM), with detailed geometry and semantics of the indoor environment, has become an essential part of smart city development and city information modeling (CIM). However, visualizing large-scale BIM models within geographic information systems (GIS), such as virtual globes, remains a technological challenge with limited hardware resources. Previous methods generally removed indoor features in a single-source (BIM) scene to reduce the computational burden from outdoor views, which have not been applied to the multi-source and -scale geographic environment (e.g., virtual globes). This approach neglected special BIM semantics (e.g., transparent windows), which may miss a part of geographic features or buildings and cause unreasonable visualization. Besides, the method overlooked indoor visualization optimization, which may burden computing resources when visualizing big and complex buildings from indoor views. To address these problems, we propose a semantics-based method for visualizing large-scale BIM models within indoor and outdoor environments. First, we organize large-scale BIM models based on a latitude-longitude grid (LLG) in the outdoor environment; a multilayer cell-and-portal graph is used to index the structure of the BIM model and building entities. Second, we propose a scheduling algorithm to achieve the integrated visualization in indoor and outdoor environments considering BIM semantics. The application of the proposed method to a multi-scale and -source environment confirmed that it can achieve an effective and efficient visualization for huge BIM models in indoor-outdoor scenes. Compared with the previous study, the proposed method considers the BIM semantics and thus can visualize more complete features from outdoor and indoor views of BIM models in the virtual globe. Besides, the study only loads as visible data as possible, which can retain lower the volume of increased geometry, and thus keep a higher frame rate for the tested areas.

scholarly journals Symbiosis of life-cycle structural design and asset management based on Building Information Modeling: Application for industrial facility equipment

2020 ◽  
Vol 12 (1) ◽  
pp. 2170-2180
Author(s):  
Lisa Lenz ◽  
Kai Christian Weist ◽  
Marvin Hoepfner ◽  
Panagiotis Spyridis ◽  
Mike Gralla
Keyword(s):  
Life Cycle ◽  
Asset Management ◽  
Large Scale ◽  
Fatigue Loading ◽  
Life Cycle Management ◽  
Information Modeling ◽  
Cycle Performance ◽  
Industrial Facilities ◽  
Building Information ◽  
Time Dependencies

AbstractIn the last few years, particular focus has been devoted to the life cycle performance of fastening systems, which is reflected in increasing numbers of publications, standards and large-scale research efforts. Simultaneously, experience shows that in many cases, where fastening systems are implemented – such as industrial facilities – the design of fasteners is governed by fatigue loading under dynamic characteristics. In order to perform an adequate design and to specify the most efficient and appropriate fastening product, the engineer needs to access and process a broad range of technical and commercial information. Building information modelling (BIM), as a data management method in the construction industry, can supply such information and accommodate a comprehensive design and specification process. Furthermore, the application of BIM-based processes, such as the generation of a BIM-model, allows to use the important information for the construction as well as the life cycle management with different actions and time dependencies of the asset and its components. As a consequence, the BIM model offers the potential to correlate different data relevant for achieving the goals of the respective application, in order to ensure a more effective and correct design of the fastening. This paper demonstrates such a BIM-based design framework for an Industry 4.0 case, and in particular, the installation of a factory robot through post-installed anchors under fatigue-relevant loading in concrete.

Calculation Method of Complex Tank Capacity Based on Laser Point Cloud and Building Information Modeling Technology

2019 ◽  
Vol 56 (5) ◽  
pp. 052802
Author(s):  
邬镇伦 Wu Zhenlun ◽  
程效军 Cheng Xiaojun ◽  
辛佩康 Xin Peikang ◽  
张立朔 Zhang Lishuo ◽  
胡敏捷 Hu Minjie
Keyword(s):  
Calculation Method ◽  
Point Cloud ◽  
Building Information Modeling ◽  
Information Modeling ◽  
Modeling Technology ◽  
Building Information ◽  
Tank Capacity

scholarly journals Topology Reconstruction of BIM Wall Objects from Point Cloud Data

2020 ◽  
Vol 12 (11) ◽  
pp. 1800 ◽  
Author(s):  
Maarten Bassier ◽  
Maarten Vergauwen
Keyword(s):  
Point Cloud ◽  
Point Clouds ◽  
Evaluation Framework ◽  
Information Modeling ◽  
Point Cloud Data ◽  
Cloud Data ◽  
Current State ◽  
Building Information ◽  
Popular Subject ◽  
Best Fit

The processing of remote sensing measurements to Building Information Modeling (BIM) is a popular subject in current literature. An important step in the process is the enrichment of the geometry with the topology of the wall observations to create a logical model. However, this remains an unsolved task as methods struggle to deal with the noise, incompleteness and the complexity of point cloud data of building scenes. Current methods impose severe abstractions such as Manhattan-world assumptions and single-story procedures to overcome these obstacles, but as a result, a general data processing approach is still missing. In this paper, we propose a method that solves these shortcomings and creates a logical BIM model in an unsupervised manner. More specifically, we propose a connection evaluation framework that takes as input a set of preprocessed point clouds of a building’s wall observations and compute the best fit topology between them. We transcend the current state of the art by processing point clouds of both straight, curved and polyline-based walls. Also, we consider multiple connection types in a novel reasoning framework that decides which operations are best fit to reconstruct the topology of the walls. The geometry and topology produced by our method is directly usable by BIM processes as it is structured conform the IFC data structure. The experimental results conducted on the Stanford 2D-3D-Semantics dataset (2D-3D-S) show that the proposed method is a promising framework to reconstruct complex multi-story wall elements in an unsupervised manner.

scholarly journals A TOOL FOR CROWDSOURCED BUILDING INFORMATION MODELING THROUGH LOW-COST RANGE CAMERA: PRELIMINARY DEMONSTRATION AND POTENTIAL

2017 ◽  
Vol XLII-2/W8 ◽  
pp. 75-81
Author(s):  
F. Capocchiano ◽  
R. Ravanelli ◽  
M. Crespi
Keyword(s):  
Low Cost ◽  
3D Models ◽  
Information Modeling ◽  
Indoor Environments ◽  
Range Camera ◽  
Information Models ◽  
Building Geometry ◽  
3D Geometry ◽  
Building Information ◽  
Geometrical Information

Within the construction sector, Building Information Models (BIMs) are more and more used thanks to the several benefits that they offer in the design of new buildings and the management of the existing ones. Frequently, however, BIMs are not available for already built constructions, but, at the same time, the range camera technology provides nowadays a cheap, intuitive and effective tool for automatically collecting the 3D geometry of indoor environments. It is thus essential to find new strategies, able to perform the first step of the scan to BIM process, by extracting the geometrical information contained in the 3D models that are so easily collected through the range cameras.<br><br> In this work, a new algorithm to extract planimetries from the 3D models of rooms acquired by means of a range camera is therefore presented. The algorithm was tested on two rooms, characterized by different shapes and dimensions, whose 3D models were captured with the Occipital Structure Sensor<sup>TM</sup>. The preliminary results are promising: the developed algorithm is able to model effectively the 2D shape of the investigated rooms, with an accuracy level comprised in the range of 5 - 10 cm. It can be potentially used by non-expert users in the first step of the BIM generation, when the building geometry is reconstructed, for collecting crowdsourced indoor information in the frame of BIMs Volunteered Geographic Information (VGI) generation.

scholarly journals IFCWALL RECONSTRUCTION FROM UNSTRUCTURED POINT CLOUDS

2018 ◽  
Vol IV-2 ◽  
pp. 33-39 ◽  
Author(s):  
M. Bassier ◽  
R. Klein ◽  
B. Van Genechten ◽  
M. Vergauwen
Keyword(s):  
Point Cloud ◽  
Input Data ◽  
Initial Point ◽  
Point Clouds ◽  
Information Modeling ◽  
Point Cloud Data ◽  
Ongoing Research ◽  
Cloud Data ◽  
Building Information ◽  
Wall Geometry

The automated reconstruction of Building Information Modeling (BIM) objects from point cloud data is still ongoing research. A key aspect is the creation of accurate wall geometry as it forms the basis for further reconstruction of objects in a BIM. After segmenting and classifying the initial point cloud, the labelled segments are processed and the wall topology is reconstructed. However, the preocedure is challenging due to noise, occlusions and the complexity of the input data.<br>In this work, a method is presented to automatically reconstruct consistent wall geometry from point clouds. More specifically, the use of room information is proposed to aid the wall topology creation. First, a set of partial walls is constructed based on classified planar primitives. Next, the rooms are identified using the retrieved wall information along with the floors and ceilings. The wall topology is computed by the intersection of the partial walls conditioned on the room information. The final wall geometry is defined by creating IfcWallStandardCase objects conform the IFC4 standard. The result is a set of walls according to the as-built conditions of a building. The experiments prove that the used method is a reliable framework for wall reconstruction from unstructured point cloud data. Also, the implementation of room information reduces the rate of false positives for the wall topology. Given the walls, ceilings and floors, 94% of the rooms is correctly identified. A key advantage of the proposed method is that it deals with complex rooms and is not bound to single storeys.

scholarly journals BUILDING INFORMATION MODELING (BIM) AND GEOGRAPHIC INFORMATION SYSTEM (GIS) DATA COMPATIBILITY FOR CONSTRUCTION PROJECT

2021 ◽  
Vol 6 (24) ◽  
pp. 278-289
Author(s):  
Wan Nor Fa’aizah Wan Abdul Basir ◽  
Uznir Ujang ◽  
Zulkepli Majid
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Data Exchange ◽  
Large Scale ◽  
Building Information Modeling ◽  
Construction Project ◽  
Geographic Information ◽  
Information Modeling ◽  
Gis Data ◽  
Building Information

Building Information Modeling (BIM) is a technology that focusing on the building element properties to the construction components which cover the interior and exterior building, while Geographic Information System (GIS) describe to the technology that can provide the large-scale information which cover inside and outside buildings (spaces and areas). In construction project application, BIM technology already been used as a worldwide tool while GIS rarely been applied. Each technology contains their own advantages that can be utilized in the construction project application. To bring the best effective approach in construction project, the integration between BIM and GIS technology can be considered. This paper presented an attempt in integrating BIM and GIS by using FME as a data integration platform to solve the limitation of BIM in construction project by using advantages of GIS. Through this research, an investigation of the data exchange during integration process between BIM and GIS will be look up. By using this approach, it is possible to store the BIM and GIS data in one environment. The end results for this paper will cover the method of the data exchange between BIM to GIS and GIS to BIM. Besides that, this paper highlight how GIS can solve the limitation in BIM in construction project.

scholarly journals USING OPENSTREETMAP DATA TO GENERATE BUILDING MODELS WITH THEIR INNER STRUCTURES FOR 3D MAPS

2017 ◽  
Vol IV-2/W4 ◽  
pp. 411-416 ◽  
Author(s):  
Z. Wang ◽  
A. Zipf
Keyword(s):  
Urban Planning ◽  
Web Application ◽  
Incident Management ◽  
Indoor Environments ◽  
Building Structures ◽  
Building Models ◽  
Wide Range ◽  
Building Information ◽  
Building Components ◽  
Indoor And Outdoor

With the development of Web 2.0, more and more data related to indoor environments has been collected within the volunteered geographic information (VGI) framework, which creates a need for construction of indoor environments from VGI. In this study, we focus on generating 3D building models from OpenStreetMap (OSM) data, and provide an approach to support construction and visualization of indoor environments on 3D maps. In this paper, we present an algorithm which can extract building information from OSM data, and can construct building structures as well as inner building components (e.g., doors, rooms, and windows). A web application is built to support the processing and visualization of the building models on a 3D map. We test our approach with an indoor dataset collected from the field. The results show the feasibility of our approach and its potentials to provide support for a wide range of applications, such as indoor and outdoor navigation, urban planning, and incident management.

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