scholarly journals EXTRACTION OF THE 3D FREE SPACE FROM BUILDING MODELS FOR INDOOR NAVIGATION

2016 ◽  
Vol IV-2/W1 ◽  
pp. 241-248 ◽  
Author(s):  
A. A. Diakité ◽  
S. Zlatanova
Keyword(s):  
Free Space ◽  
Indoor Environment ◽  
3D Model ◽  
Semantic Information ◽  
3D Modelling ◽  
Indoor Navigation ◽  
3D Navigation ◽  
Building Models ◽  
Floor Plans ◽  
Combinatorial Maps

For several decades, indoor navigation has been exclusively investigated in a 2D perspective, based on floor plans, projection and other 2D representations of buildings. Nevertheless, 3D representations are closer to our reality and offer a more intuitive description of the space configuration. Thanks to recent advances in 3D modelling, 3D navigation is timidly but increasingly gaining in interest through the indoor applications. But, because the structure of indoor environment is often more complex than outdoor, very simplified models are used and obstacles are not considered for indoor navigation leading to limited possibilities in complex buildings. In this paper we consider the entire configuration of the indoor environment in 3D and introduce a method to extract from it the actual navigable space as a network of connected 3D spaces (volumes). We describe how to construct such 3D free spaces from semantically rich and furnished IFC models. The approach combines the geometric, the topological and the semantic information available in a 3D model to isolate the free space from the rest of the components. Furthermore, the extraction of such navigable spaces in building models lacking of semantic information is also considered. A data structure named combinatorial maps is used to support the operations required by the process while preserving the topological and semantic information of the input models.

scholarly journals MULTI-LEVEL INDOOR PATH PLANNING METHOD

2015 ◽  
Vol XL-4/W5 ◽  
pp. 19-23 ◽  
Author(s):  
Q. Xiong ◽  
Q. Zhu ◽  
S. Zlatanova ◽  
Z. Du ◽  
Y. Zhang ◽  
...  
Keyword(s):  
Path Planning ◽  
Semantic Information ◽  
Fundamental Problem ◽  
Relevant Literature ◽  
Indoor Navigation ◽  
Indoor Environments ◽  
3D Cad ◽  
Building Models ◽  
Complex Building ◽  
Building Components

Indoor navigation is increasingly widespread in complex indoor environments, and indoor path planning is the most important part of indoor navigation. Path planning generally refers to finding the most suitable path connecting two locations, while avoiding collision with obstacles. However, it is a fundamental problem, especially for 3D complex building model. A common way to solve the issue in some applications has been approached in a number of relevant literature, which primarily operates on 2D drawings or building layouts, possibly with few attached attributes for obstacles. Although several digital building models in the format of 3D CAD have been used for path planning, they usually contain only geometric information while losing abundant semantic information of building components (e.g. types and attributes of building components and their simple relationships). Therefore, it becomes important to develop a reliable method that can enhance application of path planning by combining both geometric and semantic information of building components. This paper introduces a method that support 3D indoor path planning with semantic information.

scholarly journals Modeling of UTHM (Pagoh): 3D Building Models in Google Earth Utilizing Sketch Up

2019 ◽  
Vol 8 (2S2) ◽  
pp. 54-58
Keyword(s):  
3D Modeling ◽  
3D Model ◽  
Real Life ◽  
Google Earth ◽  
3D Modelling ◽  
Building Models ◽  
Complex Process ◽  
Interactive 3D ◽  
In The Beginning ◽  
2D To 3D

The main argument is shifting from 2D to 3D is in the beginning stages and creating 3D building is not trivial but a complex process. 3D building can be combined with the maps on Google Earth to provide geological knowledge. The location details in Google Map in Satellite view are not up to date. The map’s image shown in 2D mapping modelling should be substituted by 3D modelling to provide clearer visual view of the location. The main objective in this project is to construct an interactive 3D model of UTHM campus Pagoh that provide latest information about the developed building in UTHM Pagoh on Google Earth. Unmanned Aerial Vehicles (UAV) has to be launced to collect footage of UTHM campus Pagoh and continue 3D modeling by using SketchUp software. Sketch up is one of the modelling software that employed to construct 3D building. The building of UTHM campus Pagoh models is presented in visual video. Lastly, 3D building was merged onto Google Earth and a visualization video is made to demonstrate the UTHM campus Pagoh in the context of real life scene.

scholarly journals AN AUTOMATED 3D INDOOR TOPOLOGICAL NAVIGATION NETWORK MODELLING

2015 ◽  
Vol II-2/W2 ◽  
pp. 47-53 ◽  
Author(s):  
A. Jamali ◽  
A. A. Rahman ◽  
P. Boguslawski ◽  
C. M. Gold
Keyword(s):  
Indoor Environment ◽  
Laser Scanning ◽  
3D Models ◽  
Indoor Navigation ◽  
Control Points ◽  
Network Modelling ◽  
Building Model ◽  
Building Models ◽  
Data Acquisition Process ◽  
Topological Navigation

Indoor navigation is important for various applications such as disaster management and safety analysis. In the last decade, indoor environment has been a focus of wide research; that includes developing techniques for acquiring indoor data (e.g. Terrestrial laser scanning), 3D indoor modelling and 3D indoor navigation models. In this paper, an automated 3D topological indoor network generated from inaccurate 3D building models is proposed. In a normal scenario, 3D indoor navigation network derivation needs accurate 3D models with no errors (e.g. gap, intersect) and two cells (e.g. rooms, corridors) should touch each other to build their connections. The presented 3D modeling of indoor navigation network is based on surveying control points and it is less dependent on the 3D geometrical building model. For reducing time and cost of indoor building data acquisition process, Trimble LaserAce 1000 as surveying instrument is used. The modelling results were validated against an accurate geometry of indoor building environment which was acquired using Trimble M3 total station.

Representing 3D Model of Building From TLS Data Scanning in CityGML

2014 ◽  
Vol 71 (4) ◽  
Author(s):  
R. Akmaliaa ◽  
H. Setan ◽  
Z. Majid ◽  
D. Suwardhi
Keyword(s):  
3D Model ◽  
Semantic Information ◽  
Laser Scanner ◽  
Point Clouds ◽  
3D Models ◽  
Data Sources ◽  
Detailed Model ◽  
Building Model ◽  
Building Models ◽  
3D Building Model

Nowadays, 3D city models are used by the increasing number of applications. Most applications require not only geometric information but also semantic information. As a standard and tool for 3D city model, CityGML, provides a method for storing and managing both geometric and semantic information. Moreover, it also provides the multi-scale representation of 3D building model for efficient visualization. In CityGML, building models are represented in five LODs (Level of Detail), start from LOD0, LOD1, LOD2, LOD3, and LOD4. Each level has different accuracy and detail requirement for visualization. Usually, for obtaining multi-LOD of 3D building model, several data sources are integrated. For example, LiDAR data is used for generating LOD0, LOD1, and LOD2 as close-range photogrammetry data is used for generating more detailed model in LOD3 and LOD4. However, using additional data sources is increasing cost and time consuming. Since the development of TLS (Terrestrial Laser Scanner), data collection for detailed model can be conducted in a relative short time compared to photogrammetry. Point cloud generated from TLS can be used for generating the multi-LOD of building model. This paper gives an overview about the representation of 3D building model in CityGML and also method for generating multi-LOD of building from TLS data. An experiment was conducted using TLS. Following the standard in CityGML, point clouds from TLS were processed resulting 3D model of building in different level of details. Afterward, models in different LOD were converted into XML schema to be used in CityGML. From the experiment, final result shows that TLS can be used for generating 3D models of building in LOD1, LOD2, and LOD3.

scholarly journals Automatic Construction of Indoor 3D Navigation Graph from Crowdsourcing Trajectories

2021 ◽  
Vol 10 (3) ◽  
pp. 146
Author(s):  
Xin Fu ◽  
Hengcai Zhang ◽  
Peixiao Wang
Keyword(s):  
Large Scale ◽  
Clustering Algorithm ◽  
Low Frequency ◽  
Indoor Navigation ◽  
Floor Plan ◽  
3D Navigation ◽  
Graph Reconstruction ◽  
Study Results ◽  
Floor Plans

Lacking indoor navigation graph has become a bottleneck in indoor applications and services. This paper presents a novel automated indoor navigation graph reconstruction approach from large-scale low-frequency indoor trajectories without any other data sources. The proposed approach includes three steps: trajectory simplification, 2D floor plan extraction and 3D navigation graph construction. First, we propose a ST-Join-Clustering algorithm to identify and simplify redundant stay points embedded in the indoor trajectories. Second, an indoor trajectory bitmap construction based on a self-adaptive Gaussian filter is developed, and we then propose a new improved thinning algorithm to extract 2D indoor floor plans. Finally, we present an improved CFSFDP algorithm with time constraints to identify the 3D topological connection points between two different floors. To illustrate the applicability of the proposed approach, we conducted a real-world case study using an indoor trajectory dataset of over 4000 indoor trajectories and 5 million location points. The case study results showed that the proposed approach improves the navigation network accuracy by 1.83% and the topological accuracy by 13.7% compared to the classical kernel density estimation approach.

CASSION 012M - 133 -006 PANEL SERVICE PLATFORM CONSTRUCTION AND TECHNOLOGY DESIGN AND ENGINEERING

2020 ◽  
Author(s):  
Ольга Валентиновна Кузнецова ◽  
Варвара Геннадьевна Кузнецова
Keyword(s):  
3D Model ◽  
3D Modelling ◽  
Network Graph ◽  
Technology Design ◽  
Service Platform ◽  
Ship Structure ◽  
Welding Technology ◽  
Work Duration

В статье рассматривается процесс проектирования, 3D-моделирования, технологии сборки и сварки плоской судовой конструкции. Была создана 3D-модель секции, которая стала основой для ассоциативного чертежа. На основе действующих нормативных актов разработана технология сборки и сварки, рассчитана продолжительность и трудоемкость, построен сетевой график, описывающий процессы производства. The article presents the process of engineering, 3D-modelling, assembling and welding technology of a flat ship structure. A 3D-model of a section was created, which the associative drawing was based on. After the assembling and welding technology was designed according to the regulations and standards, the work duration and activity content was calculated. The network graph was plotted to illustrate the course of production.

scholarly journals Augmenting ViSP’s 3D Model-Based Tracker with RGB-D SLAM for 3D Pose Estimation in Indoor Environments

2016 ◽  
Vol XLI-B1 ◽  
pp. 925-932
Author(s):  
J. Li-Chee-Ming ◽  
C. Armenakis
Keyword(s):  
Pose Estimation ◽  
Visual Servoing ◽  
3D Model ◽  
Field Of View ◽  
Indoor Environments ◽  
Camera Motion ◽  
3D Pose Estimation ◽  
Building Models ◽  
Outdoor Environments ◽  
Model Features

This paper presents a novel application of the Visual Servoing Platform’s (ViSP) for pose estimation in indoor and GPS-denied outdoor environments. Our proposed solution integrates the trajectory solution from RGBD-SLAM into ViSP’s pose estimation process. Li-Chee-Ming and Armenakis (2015) explored the application of ViSP in mapping large outdoor environments, and tracking larger objects (i.e., building models). Their experiments revealed that tracking was often lost due to a lack of model features in the camera’s field of view, and also because of rapid camera motion. Further, the pose estimate was often biased due to incorrect feature matches. This work proposes a solution to improve ViSP’s pose estimation performance, aiming specifically to reduce the frequency of tracking losses and reduce the biases present in the pose estimate. This paper explores the integration of ViSP with RGB-D SLAM. We discuss the performance of the combined tracker in mapping indoor environments and tracking 3D wireframe indoor building models, and present preliminary results from our experiments.

scholarly journals DEVELOPMENT PROSPECTS OF 3D MODELLING IN FORENSIC MEDICINE: BIM-TECHNOLOGY AND 4D MODELLING

2020 ◽  
Vol 6 (1) ◽  
pp. 4-13
Author(s):  
S. V. Leonov ◽  
Yu. P. Shakiryanova ◽  
P. V. Pinchuk
Keyword(s):  
Forensic Medicine ◽  
3D Model ◽  
Three Dimensional ◽  
3D Modelling ◽  
Line Of Sight ◽  
The Finite Element Method ◽  
Practical Application ◽  
Cad Modelling ◽  
Ct Data ◽  
Development Prospects

The present article provides an overview of the main methods of three-dimensional modelling currently used in various fields of science and practice, including forensic medicine. The possibilities of used methods are described.The authors introduce the concept of BIM-technology, which allows various methods working in 3D to be applied comprehensively: from photogrammetry and computed tomography to line-of-sight and CAD modelling. The article presents a case involving practical application of BIM-technology within the practical work of a forensic expert. The possibilities of supplementing and expanding the model over time within a single information field (4D modelling) are shown.Using the example of a specific examination, it is shown for which studies the created BIM-model can be employed, as well as what issues can be solved with its help. To that end, CT data was studied with the subsequent reconstruction of the 3D model of the damaged skull; blood traces were analysed with the subsequent 3D modelling of circumstances at the scene. The following methods were used for the reconstruction: photogrammetry, the finite element method and line-of-sight modelling of gunshot trajectories.Applied within a situational forensic medical examination, BIM-technologies successfully provided answers to the investigator’s questions: mechanism underlying the formation of blood traces; location of the bleeding source; trajectories of projectiles and their elements; circumstances of the occurrence; position of the shooter; prediction of glass breakage caused by a bullet.Conclusion. New computer technologies (BIM-technology and 4D modelling) constitute the next step in the development of three-dimensional modelling. Their introduction into the practice of experts will help create a single information field for all objects under study, as well as consider all possible investigative leads as objectively as possible

scholarly journals Automated Storey Separation and Door and Window Extraction for Building Models from Complete Laser Scans

2021 ◽  
Vol 13 (17) ◽  
pp. 3384
Author(s):  
Kate Pexman ◽  
Derek D. Lichti ◽  
Peter Dawson
Keyword(s):  
Building Design ◽  
Point Clouds ◽  
Heritage Sites ◽  
Building Models ◽  
Significant Research ◽  
Heritage Buildings ◽  
Floor Plans ◽  
Multi Level ◽  
Dimensional Errors ◽  
Work Done

Heritage buildings are often lost without being adequately documented. Significant research has gone into automated building modelling from point clouds, challenged by irregularities in building design and the presence of occlusion-causing clutter and non-Manhattan World features. Previous work has been largely focused on the extraction and representation of walls, floors, and ceilings from either interior or exterior single storey scans. Significantly less effort has been concentrated on the automated extraction of smaller features such as windows and doors from complete (interior and exterior) scans. In addition, the majority of the work done on automated building reconstruction pertains to the new-build and construction industries, rather than for heritage buildings. This work presents a novel multi-level storey separation technique as well as a novel door and window detection strategy within an end-to-end modelling software for the automated creation of 2D floor plans and 3D building models from complete terrestrial laser scans of heritage buildings. The methods are demonstrated on three heritage sites of varying size and complexity, achieving overall accuracies of 94.74% for multi-level storey separation and 92.75% for the building model creation. Additionally, the automated door and window detection methodology achieved absolute mean dimensional errors of 6.3 cm.

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