2017
DOI: 10.3390/ijgi6070214 View full text |Buy / Rent full text
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Abstract: Three-dimensional modeling of building environments and indoor positioning is essential for emergency response in cities. Traditional ground-based measurement methods, such as geodetic astronomy, total stations, and global positioning system (GPS) receivers, cannot meet the demand for high precision positioning and it is therefore essential to conduct multiple-angle data-acquisition and establish three-dimensional spatial models. In this paper, a rapid modeling technology is introduced, which includes multiple… Show more

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“…The extraction of geometric information from images has been conducted with a multitude of methods, including a combination of spatial layout estimation and pose tracking [25] and the use of textural-based features [26]. A recent increase in studies concerning 3D depth estimation from a single image has been noted [27], where neural networks are used for determining the presence and position of planes based on known ground truth, both for rectangular [28] and panoramic images [29].…”
Section: Introductionmentioning
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“…The extraction of geometric information from images has been conducted with a multitude of methods, including a combination of spatial layout estimation and pose tracking [25] and the use of textural-based features [26]. A recent increase in studies concerning 3D depth estimation from a single image has been noted [27], where neural networks are used for determining the presence and position of planes based on known ground truth, both for rectangular [28] and panoramic images [29].…”
Section: Introductionmentioning
“…VUGEs relies on 3D modeling for constructing virtual environments; Construction of coupled indoor/outdoor VGEs is particularly challenging. Zhang et al proposed to integrate unmanned aerial vehicle (UAV)-based outdoor 3D reconstruction, computer-aided design (CAD)-based indoor modeling and iBeacon-based indoor positioning in this regard and presented a prototype indoor-outdoor VGE to support urban emergency response [8]. Additionally, new methods for the extraction of urban features from LiDAR point clouds were explored in two studies [9,10].…”
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