3D GIS Data Model for Indoor Route Finding

2006 ◽  
Vol 10 (2) ◽  
pp. 87-95 ◽  
Author(s):  
Chulmin Jun ◽  
Inhye Park ◽  
Keun-Won Ryu ◽  
June-Hwan Koh
Keyword(s):  
3D Gis ◽  
2012 ◽  
Vol 594-597 ◽  
pp. 2351-2355
Author(s):  
Qing Guo Wang

3D data model is an indispensable component to any 3D GIS, and forms the basis of 3D spatial analysis and representation. At present, plenty of representative 3D data models are proposed. However, existing models neglect the display result and the consumption of storage space. Based on the analysis of existing 3D GIS data model, a 3D surface model is proposed for fast visualization in this paper, which is composed of node, segment and triangle. The data structure and formal representation of the proposed 3D surface model is developed to organize and store data of 3D model. Finally, an experiment is made to compare this 3D surface model with other 3D data model, and the result demonstrates that the 3D surface model proposed in this paper is superior to the existing data model in terms of data volume, moreover, it can acquire fast visualization speed.


2012 ◽  
Vol 26 (5) ◽  
pp. 817-838 ◽  
Author(s):  
Zhixiang Fang ◽  
Qingquan Li ◽  
Xing Zhang ◽  
Shih-Lung Shaw

Author(s):  
J.-H. Hong ◽  
C.-H. Chen

<p><strong>Abstract.</strong> Photos are an effective tool for recording ongoing disaster situations or damages after hazards. The emergence of smartphones has revolutionary influences on the use of photos. Even the general public can take photos, report any disaster situations they observe via mobile network, and share photos in social media because nearly everyone has a smartphone. These photos may provide valuable information about the disaster in reality. In addition to visual inspection, effectively and efficiently taking advantage of the available photos remains an interesting challenge. From a 3D perspective, we propose a synchronized approach for integrating the visualization and manipulation of photos and 3D geographic information system (GIS) data. The photos provide newly acquired disaster situations, while the 3D GIS data provide a realistic and comprehensive reference and links to other domain data to analyze damages from different viewpoints effectively. The key idea is to restore the position and orientation when the photo is taken in the system and synchronize the visualization of both types of data with a dual-window interface. If common feature points between the photos and 3D GIS data can be found, the damage assessment can be even more accurate. This approach will be extremely useful when before-and-after situations are compared. With the awareness of environment changes and willingness of participation from citizens increase, the proposed approach presents a new direction by highlighting the use of photos for improved decision making in disaster management.</p>


Author(s):  
W. Wang ◽  
T. Ai ◽  
C. Gong

<p><strong>Abstract.</strong> Indoor route planning, affected by many constraints, needs to take consideration of both the spatial geometry, environmental attribute information of the scene and the application preferences. Thus, it requires a data model that can integrate multiple constraints to model the indoor scene; meanwhile, it’s also necessary to take into account the isotropic features of the indoor pathfinding behavior and the superposition analysis of multi-constraint conditions by the route-finding algorithm. Based on this, this paper proposes a multi-factor constrained A* algorithm model based on the hexagonal grid, that is using an isotropic regular hexagon to model an indoor scene, and taking constraint conditions as heuristic factors to guide the route-finding algorithm so as to get the route. Based on this model, distance, recognition and pedestrian density are used as examples to illustrate the impact of constraints on route planning and their organic combination with scene modeling and route-finding algorithms. The experimental results show that this scheme can effectively take into account the constraints such as distance, landmark strength, and pedestrian heat, thus providing a route that is more in line with the application preferences.</p>


Author(s):  
Ruijun Liu ◽  
Myriam Servières ◽  
Guillaume Moreau

This paper presents a method for reconstructing 3D buildings and updating Geographic Information System (GIS) data from video. We use 2D-GIS data and a ground-based video sequence as inputs. The main approach consists of three parts. In the first part, the data is captured and analyzed: besides the 2D-GIS data, we capture a video from a street view; then we can obtain thousands of3D feature points by our extracting algorithm and design a noise filter to remove outliers. In the second part, we present a generation process, which contains the footprint extraction and basic facades reconstruction. The last part is the correction and updating process: after correcting the footprint and computing the height of the building, our method will update the data into GIS. In addition, we use some user knowledge to make the results much more accurate. In the filtering and the correcting process, our method can deal with several interactive operations.


2019 ◽  
Vol 153 ◽  
pp. 74-95 ◽  
Author(s):  
Mingxiang Feng ◽  
Shih-Lung Shaw ◽  
Zhixiang Fang ◽  
Hao Cheng

2018 ◽  
Vol 23 (1) ◽  
pp. 87-103
Author(s):  
Brian J. Morgan ◽  
Steven E. Greco
Keyword(s):  

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