scholarly journals MODELLING OF INDOOR ENVIRONMENTS USING LINDENMAYER SYSTEMS

2017 ◽  
Vol XLII-2/W7 ◽  
pp. 385-390 ◽  
Author(s):  
M. Peter
Keyword(s):  
Data Acquisition ◽  
Laser Scanning ◽  
Indoor Environments ◽  
Lindenmayer Systems ◽  
Street Networks ◽  
Evacuation Plans ◽  
General Rules ◽  
Data Gaps ◽  
Computer Based ◽  
Data Acquisition And Processing

Documentation of the “as-built” state of building interiors has gained a lot of interest in the recent years. Various data acquisition methods exist, e.g. the extraction from photographed evacuation plans using image processing or, most prominently, indoor mobile laser scanning. Due to clutter or data gaps as well as errors during data acquisition and processing, automatic reconstruction of CAD/BIM-like models from these data sources is not a trivial task. Thus it is often tried to support reconstruction by general rules for the perpendicularity and parallelism which are predominant in man-made structures. Indoor environments of large, public buildings, however, often also follow higher-level rules like symmetry and repetition of e.g. room sizes and corridor widths. In the context of reconstruction of city city elements (e.g. street networks) or building elements (e.g. fac¸ade layouts), formal grammars have been put to use. In this paper, we describe the use of Lindenmayer systems - which originally have been developed for the computer-based modelling of plant growth - to model and reproduce the layout of indoor environments in 2D.

Computer-Aided Modern Physics Experiment

2011 ◽  
Vol 271-273 ◽  
pp. 849-852
Author(s):  
Qian Zhao Lei
Keyword(s):  
Data Processing ◽  
Data Acquisition ◽  
Experimental Data Processing ◽  
Special Software ◽  
Modern Physics ◽  
Data Acquisition Card ◽  
Computer Based ◽  
Physics Experiment ◽  
Data Acquisition And Processing ◽  
Physics Experiments

In order to better adapt to the modern physics experiments under intelligent conditions, we examined a number of modern physics experiment the intelligent way from data acquisition and processing and concluded: Data collection can be attributed to two ways, one way is by means of computer device (such as sound card) to receive data, another way to install the data acquisition card (or frame grabber), moreover to install device driver in the computer; Modern experimental data processing is the main purpose of the intelligentization, with special software, fast data processing, and giving visual results. The results contribute to a better use of computer-based modern physics experiments.

scholarly journals COMPARISON OF ZEB1 AND LEICA C10 INDOOR LASER SCANNING POINT CLOUDS

2016 ◽  
Vol III-1 ◽  
pp. 143-149
Author(s):  
Beril Sirmacek ◽  
Yueqian Shen ◽  
Roderik Lindenbergh ◽  
Sisi Zlatanova ◽  
Abdoulaye Diakite
Keyword(s):  
Data Acquisition ◽  
Point Cloud ◽  
Laser Scanning ◽  
Laser Scanner ◽  
Point Clouds ◽  
Quality Of Data ◽  
Local Point ◽  
Measurement Planning ◽  
Data Acquisition And Processing

We present a comparison of point cloud generation and quality of data acquired by Zebedee (Zeb1) and Leica C10 devices which are used in the same building interior. Both sensor devices come with different practical and technical advantages. As it could be expected, these advantages come with some drawbacks. Therefore, depending on the requirements of the project, it is important to have a vision about what to expect from different sensors. In this paper, we provide a detailed analysis of the point clouds of the same room interior acquired from Zeb1 and Leica C10 sensors. First, it is visually assessed how different features appear in both the Zeb1 and Leica C10 point clouds. Next, a quantitative analysis is given by comparing local point density, local noise level and stability of local normals. Finally, a simple 3D room plan is extracted from both the Zeb1 and the Leica C10 point clouds and the lengths of constructed line segments connecting corners of the room are compared. The results show that Zeb1 is far superior in ease of data acquisition. No heavy handling, hardly no measurement planning and no point cloud registration is required from the operator. The resulting point cloud has a quality in the order of centimeters, which is fine for generating a 3D interior model of a building. Our results also clearly show that fine details of for example ornaments are invisible in the Zeb1 data. If point clouds with a quality in the order of millimeters are required, still a high-end laser scanner like the Leica C10 is required, in combination with a more sophisticated, time-consuming and elaborative data acquisition and processing approach.

scholarly journals COMPARISON OF ZEB1 AND LEICA C10 INDOOR LASER SCANNING POINT CLOUDS

2016 ◽  
Vol III-1 ◽  
pp. 143-149 ◽  
Author(s):  
Beril Sirmacek ◽  
Yueqian Shen ◽  
Roderik Lindenbergh ◽  
Sisi Zlatanova ◽  
Abdoulaye Diakite
Keyword(s):  
Data Acquisition ◽  
Point Cloud ◽  
Laser Scanning ◽  
Laser Scanner ◽  
Point Clouds ◽  
Quality Of Data ◽  
Local Point ◽  
Measurement Planning ◽  
Data Acquisition And Processing

We present a comparison of point cloud generation and quality of data acquired by Zebedee (Zeb1) and Leica C10 devices which are used in the same building interior. Both sensor devices come with different practical and technical advantages. As it could be expected, these advantages come with some drawbacks. Therefore, depending on the requirements of the project, it is important to have a vision about what to expect from different sensors. In this paper, we provide a detailed analysis of the point clouds of the same room interior acquired from Zeb1 and Leica C10 sensors. First, it is visually assessed how different features appear in both the Zeb1 and Leica C10 point clouds. Next, a quantitative analysis is given by comparing local point density, local noise level and stability of local normals. Finally, a simple 3D room plan is extracted from both the Zeb1 and the Leica C10 point clouds and the lengths of constructed line segments connecting corners of the room are compared. The results show that Zeb1 is far superior in ease of data acquisition. No heavy handling, hardly no measurement planning and no point cloud registration is required from the operator. The resulting point cloud has a quality in the order of centimeters, which is fine for generating a 3D interior model of a building. Our results also clearly show that fine details of for example ornaments are invisible in the Zeb1 data. If point clouds with a quality in the order of millimeters are required, still a high-end laser scanner like the Leica C10 is required, in combination with a more sophisticated, time-consuming and elaborative data acquisition and processing approach.

scholarly journals 3D Indoor Building Environment Reconstruction using Least Square Adjustment, Polynomial Kernel, Interval Analysis and Homotopy Continuation

2016 ◽  
Vol XLII-2/W1 ◽  
pp. 103-113 ◽  
Author(s):  
Ali Jamali ◽  
François Anton ◽  
Alias Abdul Rahman ◽  
Darka Mioc
Keyword(s):  
Data Acquisition ◽  
Interval Analysis ◽  
Laser Scanning ◽  
Least Square ◽  
Polynomial Kernel ◽  
Homotopy Continuation ◽  
Indoor Environments ◽  
Range Finder ◽  
Angle Sensor ◽  
Scanning Method

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.

scholarly journals 3D INDOOR BUILDING ENVIRONMENT RECONSTRUCTION USING CALIBRATION OF RANGEFINDER DATA

2015 ◽  
Vol II-2/W2 ◽  
pp. 29-34 ◽  
Author(s):  
A. Jamali ◽  
F. Anton ◽  
A. A. Rahman ◽  
P. Boguslawski ◽  
C. M. Gold
Keyword(s):  
Data Acquisition ◽  
Laser Scanning ◽  
Laser Scanner ◽  
Real Data ◽  
Facility Management ◽  
Least Square ◽  
Homotopy Continuation ◽  
Indoor Environments ◽  
Range Finder ◽  
Architectural Planning

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.

Rapid Tree Diameter Computation with Terrestrial Stereoscopic Photogrammetry

2020 ◽  
Vol 118 (4) ◽  
pp. 355-361
Author(s):  
Nicholas J Eliopoulos ◽  
Yezhi Shen ◽  
Minh Luong Nguyen ◽  
Vaastav Arora ◽  
Yuxin Zhang ◽  
...  
Keyword(s):  
Data Acquisition ◽  
Root Mean Square ◽  
Laser Scanning ◽  
Absolute Error ◽  
Acquisition Time ◽  
Mean Square ◽  
Video Footage ◽  
Processing Times ◽  
Data Acquisition And Processing ◽  
Mean Square Errors

Abstract Forest inventorying is time-consuming and expensive. Recent research involving photogrammetry promises to reduce the cost of inventorying. Existing photogrammetry methods require substantial data-processing time, however. Our aim was to reduce data-acquisition and processing times while obtaining relatively accurate diameter estimates compared to manual and other digital measurements. We developed an algorithm to identify the ground and measure diameter at breast height (dbh) or any height along a stem from the recorded video footage of trees taken with a stereo camera. Footage acquisition time, dbh root mean square error, and mean absolute error were used as comparison metrics with other methods. The time to perform three recordings for 40 trees was about 30 minutes. We recorded data at 1 m, 3 m, and 5 m from the trunk, and our dbh root mean square errors were 1.28 cm (0.50 in.), 1.47 cm (0.58 in.), and 2.57 cm (1.01 in.), respectively, using manual measures as the control. This terrestrial stereoscopic photogrammetric method is much more efficient computationally than popular terrestrial structure-from-motion photogrammetry and substantially lowers time, costs, and complexity for data acquisition and processing compared with terrestrial laser scanning.

scholarly journals 3D HOLISTIC DOCUMENTATION OF HERITAGE MONUMENTS IN RHODES

2021 ◽  
Vol XLVI-M-1-2021 ◽  
pp. 739-744
Author(s):  
S. Tapinaki ◽  
M. Skamantzari ◽  
A. Anastasiou ◽  
S. Koutros ◽  
E. Syrokou ◽  
...  
Keyword(s):  
Cultural Heritage ◽  
Data Acquisition ◽  
Laser Scanning ◽  
3D Models ◽  
Time Frame ◽  
Heritage Sites ◽  
Wide Range ◽  
Source Data ◽  
Heritage Buildings ◽  
Data Acquisition And Processing

Abstract. This paper focuses on the holistic 3D geometric documentation of four Cultural Heritage buildings, of different historic eras, on the island of Rhodes. The main scope was to produce the 3D models and all required products according to the needs and specifications set by the EU funded HYPERION project. The ideal combination of multi-source data acquisition and processing was employed, which is the modern perception for the methodology of geometric documentation of monuments. The workflow for the combination of geodetic, photogrammetric and laser scanning data acquisition methods is described in detail. Very decisive factor in carrying out fieldwork for data acquisition was the time frame, which was very limited due to the COVID-19 pandemic. The establishing of a holistic framework for the documentation of Cultural Heritage by carrying out a wide range of multidisciplinary research, acquiring and combining datasets from various sensors and sources, as well as by developing innovative tools for systematic monitoring gives substantial results in order to protect, preserve and enhance Cultural Heritage sites. The documentation results are presented and discussed for their usefulness for the project.

INES MOVIES : A NEW ACOUSTIC DATA ACQUISITION AND PROCESSING SYSTEM

1990 ◽  
Vol 51 (C2) ◽  
pp. C2-939-C2-942 ◽  
Author(s):  
N. DINER ◽  
A. WEILL ◽  
J. Y. COAIL ◽  
J. M. COUDEVILLE
Keyword(s):  
Data Acquisition ◽  
Processing System ◽  
Acoustic Data ◽  
Data Acquisition And Processing
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