10 results on '"indoor surveying"'
Search Results
2. An automated 3D modeling of topological indoor navigation network.
- Author
-
Jamali, Ali, Abdul Rahman, Alias, Boguslawski, Pawel, Kumar, Pankaj, and Gold, Christopher
- Subjects
INDOOR positioning systems ,THREE-dimensional modeling ,RANGEFINDERS (Engineering) - Abstract
Indoor navigation is important for various applications such as disaster management, building modeling, safety analysis etc. In the last decade, indoor environment has been a focus of wide research that includes development of indoor data acquisition techniques, 3D data modeling and indoor navigation. In this research, an automated method for 3D modeling of indoor navigation network has been presented. 3D indoor navigation modeling requires a valid 3D model that can be represented as a cell complex: a model without any gap or intersection such that two cells (e.g. room, corridor) perfectly touch each other. This research investigates an automated method for 3D modeling of indoor navigation network using a geometrical model of indoor building environment. In order to reduce time and cost of surveying process, Trimble LaserAce 1000 laser rangefinder was used to acquire indoor building data which led to the acquisition of an inaccurate geometry of building. The connection between surveying benchmarks was established using Delaunay triangulation. Dijkstra algorithm was used to find shortest path in between building floors. The modeling results were evaluated against an accurate geometry of indoor building environment which was acquired using highly-accurate Trimble M3 total station. This research intends to investigate and propose a novel method of topological navigation network modeling with a less accurate geometrical model to overcome the need of required an accurate geometrical model. To control the uncertainty of the calibration and of the reconstruction of the building from the measurements, interval analysis and homotopy continuation will be investigated in the near future. [ABSTRACT FROM AUTHOR]
- Published
- 2017
- Full Text
- View/download PDF
3. 3D Indoor Building Environment Reconstruction using Least Square Adjustment, Polynomial Kernel, Interval Analysis and Homotopy Continuation.
- Author
-
Jamali, Ali, Anton, François, Rahman, Alias Abdul, and Mioc, Darka
- Subjects
LEAST squares ,KERNEL (Mathematics) ,INTERVAL analysis - Abstract
Nowadays, municipalities intend to have 3D city models for facility management, disaster management and architectural planning. Indoor models can be reconstructed from construction plans but sometimes, they are not available or very often, they differ from 'as-built' plans. In this case, the buildings and their rooms must be surveyed. One of the most utilized methods of indoor surveying is laser scanning. The laser scanning method allows taking accurate and detailed measurements. However, Terrestrial Laser Scanner is costly and time consuming. In this paper, several techniques for indoor 3D building data acquisition have been investigated. For reducing the time and cost of indoor building data acquisition process, the Trimble LaserAce 1000 range finder is used. The proposed approache use relatively cheap equipment: a light Laser Rangefinder which appear to be feasible, but it needs to be tested to see if the observation accuracy is sufficient for the 3D building modelling. The accuracy of the rangefinder is evaluated and a simple spatial model is reconstructed from real data. This technique is rapid (it requires a shorter time as compared to others), but the results show inconsistencies in horizontal angles for short distances in indoor environments. The range finder horizontal angle sensor was calibrated using a least square adjustment algorithm, a polynomial kernel, interval analysis and homotopy continuation. [ABSTRACT FROM AUTHOR]
- Published
- 2016
- Full Text
- View/download PDF
4. 3D TOPOLOGICAL INDOOR BUILDING MODELING INTEGRATED WITH OPEN STREET MAP.
- Author
-
Jamali, Ali, Rahman, Alias Abdul, and Boguslawski, Pawel
- Subjects
BUILDING inspection ,ROAD maps ,THREE-dimensional modeling - Abstract
Considering various fields of applications for building surveying and various demands, geometry representation of a building is the most crucial aspect of a building survey. The interiors of the buildings need to be described along with the relative locations of the rooms, corridors, doors and exits in many kinds of emergency response, such as fire, bombs, smoke, and pollution. Topological representation is a challenging task within the Geography Information Science (GIS) environment, as the data structures required to express these relationships are particularly difficult to develop. Even within the Computer Aided Design (CAD) community, the structures for expressing the relationships between adjacent building parts are complex and often incomplete. In this paper, an integration of 3D topological indoor building modeling in Dual Half Edge (DHE) data structure and outdoor navigation network from Open Street Map (OSM) is presented. [ABSTRACT FROM AUTHOR]
- Published
- 2016
- Full Text
- View/download PDF
5. AN AUTOMATED 3D INDOOR TOPOLOGICAL NAVIGATION NETWORK MODELLING.
- Author
-
Jamali, Ali, Rahman, Alias Abdul, Boguslawski, Pawel, and Gold, Christopher M.
- Subjects
AUTOMATION equipment ,THREE-dimensional modeling ,VECTOR topology - Abstract
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. [ABSTRACT FROM AUTHOR]
- Published
- 2015
- Full Text
- View/download PDF
6. 3D INDOOR BUILDING ENVIRONMENT RECONSTRUCTION USING CALIBRATION OF RANGEFINDER DATA.
- Author
-
Jamali, Ali, Anton, Francois, Rahman, Alias Abdul, Boguslawski, Pawel, and Gold, Christopher M.
- Subjects
FACILITY management surveys ,SURVEYING instruments ,CALIBRATION - Abstract
Nowadays, municipalities intend to have 3D city models for facility management, disaster management and architectural planning. 3D data acquisition can be done by laser scanning for indoor environment which is a costly and time consuming process. Currently, for indoor surveying, Electronic Distance Measurement (EDM) and Terrestrial Laser Scanner (TLS) are mostly used. In this paper, several techniques for indoor 3D building data acquisition have been investigated. For reducing the time and cost of indoor building data acquisition process, the Trimble LaserAce 1000 range finder is used. The accuracy of the rangefinder is evaluated and a simple spatial model is reconstructed from real data. This technique is rapid (it requires a shorter time as compared to others), but the results show inconsistencies in horizontal angles for short distances in indoor environments. The range finder was calibrated using a least square adjustment algorithm. To control the uncertainty of the calibration and of the reconstruction of the building from the measurements, interval analysis and homotopy continuation are used. [ABSTRACT FROM AUTHOR]
- Published
- 2015
- Full Text
- View/download PDF
7. Précision relative et niveau de détails, les limites d’utilisation du ZEB-Revo RT
- Author
-
Vanderhaegue, Simon, École supérieure des géomètres et topographes (ESGT-CNAM), Conservatoire National des Arts et Métiers [CNAM] (CNAM), GEXIA Foncier expert, 209 rue Jean Bart, 31670 Labège, and Sylvain Cantaloube
- Subjects
Levé d’intérieur ,Scanner dynamique ,[SPI]Engineering Sciences [physics] ,Indoor surveying ,GeoSLAM ,Mobile mapping ,ZEB-Revo RT - Abstract
The different types of tests made during this work have enabled to see that the topographic study’s methodology can minimize geometric errors despite the SLAM data reprocessing shows themselves useful only in case of large geometric inconsistency. In terms of topographic study’s geometry, the achievement of several loop is required only if the data acquisition need more than 10 minutes. In this case, their registration shows better results on a single-storey recovery area. Furthermore, it’s proving that because of the use of limited accuracy instruments, topographic study made with the ZEB-Revo RT can’t be improved. Thus, this scanner can’t be employed in architectural works because of its relative accuracy (0.016 m) and its soft level of details (0.03 m) which not enable the reproduction of large-scaled map (1/50 or 1/100).; Les différents tests menés lors de cette étude ont permis de voir que si la méthodologie de levé est importante pour minimiser les erreurs de géométrie, les opérations de retraitement des boucles SLAM ne se montrent en revanche utiles qu’en cas de grande incohérence géométrique. En termes de géométrie, la réalisation de plusieurs boucles n’est nécessaire que si levé nécessite plus de 10 minutes. Dans ce cas, leur assemblage montre de meilleurs résultats sur les zones de recouvrement d’un même étage. De plus, il s’avère qu’en raison de l’utilisation d’instruments de précision limitée, les levés effectués à l’aide du ZEB-Revo RT ne peuvent pas être améliorés. Ainsi, ce dernier ne peut permettre la réalisation de travaux architecturaux car sa précision relative (0.016 m) et son faible niveau détails (0.03 m) ne permettent pas l’édition de plans à grandes échelles (1/50 ou 1/100).
- Published
- 2020
8. An automated 3D modeling of topological indoor navigation network
- Author
-
Pankaj Kumar, Alias Abdul Rahman, Christopher M. Gold, Ali Jamali, Pawel Boguslawski, Jamali, A, Abdul Rahman, A, Boguslawski, P, Kumar, Pankaj, and Gold, CM
- Subjects
010504 meteorology & atmospheric sciences ,Computer science ,Geography, Planning and Development ,indoor surveying ,0211 other engineering and technologies ,02 engineering and technology ,Topology ,Indoor navigation ,01 natural sciences ,Data modeling ,Automation ,Data acquisition ,021101 geological & geomatics engineering ,0105 earth and related environmental sciences ,Network model ,automation ,Indoor surveying ,Delaunay triangulation ,business.industry ,Total station ,indoor navigation ,3D data modeling ,3D modeling ,Mobile robot navigation ,business - Abstract
Indoor navigation is important for various applications such as disaster management, building modeling, safety analysis etc. In the last decade, indoor environment has been a focus of wide research that includes development of indoor data acquisition techniques, 3D data modeling and indoor navigation. In this research, an automated method for 3D modeling of indoor navigation network has been presented. 3D indoor navigation modeling requires a valid 3D model that can be represented as a cell complex: a model without any gap or intersection such that two cells (e.g. room, corridor) perfectly touch each other. This research investigates an automated method for 3D modeling of indoor navigation network using a geometrical model of indoor building environment. In order to reduce time and cost of surveying process, Trimble LaserAce 1000 laser rangefinder was used to acquire indoor building data which led to the acquisition of an inaccurate geometry of building. The connection between surveying benchmarks was established using Delaunay triangulation. Dijkstra algorithm was used to find shortest path in between building floors. The modeling results were evaluated against an accurate geometry of indoor building environment which was acquired using highly-accurate Trimble M3 total station. This research intends to investigate and propose a novel method of topological navigation network modeling with a less accurate geometrical model to overcome the need of required an accurate geometrical model. To control the uncertainty of the calibration and of the reconstruction of the building from the measurements, interval analysis and homotopy continuation will be investigated in the near future Refereed/Peer-reviewed
- Published
- 2017
9. 3D Indoor Building Environment Reconstruction using Polynomial Kernel, Least Square Adjustment, Interval Analysis and Homotopy Continuation
- Author
-
Jamali, Ali, Rahman, Alias Abdul, Antón Castro, Francesc/François, and Mioc, Darka
- Subjects
Indoor surveying ,Calibration ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,Interval analysis ,Homotopy continuation ,Least square adjustment ,Polynomial kernel ,Laser scanning ,SDG 11 - Sustainable Cities and Communities - Abstract
Nowadays, municipalities intend to have 3D city models for facility management, disaster management and architectural planning. Indoor models can be reconstructed from construction plans but sometimes, they are not available or very often, they differ from ‘as-built’ plans. In this case, the buildings and their rooms must be surveyed. One of the most utilized methods of indoor surveying is laser scanning. The laser scanning method allows taking accurate and detailed measurements. However, Terrestrial Laser Scanner is costly and time consuming. In this paper, several techniques for indoor 3D building data acquisition have been investigated. For reducing the time and cost of indoor building data acquisition process, the Trimble LaserAce 1000 range finder is used. The proposed approache use relatively cheap equipment: a light Laser Rangefinder which appear to be feasible, but it needs to be tested to see if the observation accuracy is sufficient for the 3D building modelling. The accuracy of the rangefinder is evaluated and a simple spatial model is reconstructed from real data. This technique is rapid (it requires a shorter time as compared to others), but the results show inconsistencies in horizontal angles for short distances in indoor environments. The range finder horizontal angle sensor was calibrated using a least square adjustment algorithm, a polynomial kernel, interval analysis and homotopy continuation.
- Published
- 2016
10. 3D Indoor Building Environment Reconstruction using calibration of Range finder Data
- Author
-
Jamali, Ali, Anton, François, Rahman, Alias Abdul, Boguslawski, Pawel, and Gold, Christopher M.
- Subjects
Indoor surveying ,Calibration ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,Interval analysis ,Homotopy continuation ,Least square adjustment ,Laser scanning ,SDG 11 - Sustainable Cities and Communities - Abstract
Nowadays, municipalities intend to have 3D city models for facility management, disaster management and architectural planning. 3D data acquisition can be done by laser scanning for indoor environment which is a costly and time consuming process. Currently, for indoor surveying, Electronic Distance Measurement (EDM) and Terrestrial Laser Scanner (TLS) are mostly used. In this paper, several techniques for indoor 3D building data acquisition have been investigated. For reducing the time and cost of indoor building data acquisition process, the Trimble LaserAce 1000 range finder is used. The accuracy of the rangefinder is evaluated and a simple spatial model is reconstructed from real data. This technique is rapid (it requires a shorter time as compared to others), but the results show inconsistencies in horizontal angles for short distances in indoor environments. The range finder was calibrated using a least square adjustment algorithm. To control the uncertainty of the calibration and of the reconstruction of the building from the measurements, interval analysis and homotopy continuation are used.
- Published
- 2015
Catalog
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.