Context Aware Indoor Route Planning Using Semantic 3D Building Models with Cloud Computing

Khan, Arif Raza; Yao, Zhihang; Kolbe, Thomas H.

doi:10.1007/978-3-319-12181-9_11

Cited by 8 publications

(7 citation statements)

References 10 publications

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“…Most of the solutions adapt the costs in the edges or nodes and use the Dijkstra algorithm to minimize the cost. A simple solution was proposed by Khan et al [35], who tried to optimize travel time based on estimated speeds, differentiating between regular walked segments and stairs. In related research on evacuation, the focus of path planning is on speed, but risk, population density, accessibility, user restrictions, and turns are also considered [2,20,43,44].…”

Section: Alternative Path Algorithmsmentioning

confidence: 99%

“…Given that the applied route planning algorithms in the literature have been mentioned, which usually is not the case (e.g., [29]), these are mostly shortest path algorithms (e.g., Dijkstra, A*) minimizing travel distance (e.g., [1,[30][31][32][33][34][35][36][37]). In contrast to this practice, scholars disagree with the use of length optimized paths.…”

Section: Introductionmentioning

confidence: 99%

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On the Right Track: Comfort and Confusion in Indoor Environments

Vanhaeren

Cock

Lapon

et al. 2020

IJGI

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Indoor navigation systems are not well adapted to the needs of their users. The route planning algorithms implemented in these systems are usually limited to shortest path calculations or derivatives, minimalizing Euclidian distance. Guiding people along routes that adhere better to their cognitive processes could ease wayfinding in indoor environments. This paper examines comfort and confusion perception during wayfinding by applying a mixed-method approach. The aforementioned method combined an exploratory focus group and a video-based online survey. From the discussions in the focus group, it could be concluded that indoor wayfinding must be considered at different levels: the local level and the global level. In the online survey, the focus was limited to the local level, i.e., local environmental characteristics. In this online study, the comfort and confusion ratings of multiple indoor navigation situations were analyzed. In general, the results indicate that open spaces and stairs need to be taken into account in the development of a more cognitively-sounding route planning algorithm. Implementing the results in a route planning algorithm could be a valuable improvement of indoor navigation support.

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Section: Alternative Path Algorithmsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

On the Right Track: Comfort and Confusion in Indoor Environments

Vanhaeren

Cock

Lapon

et al. 2020

IJGI

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“…Due to the resourceful support, server based visual processing system can afford much complex calculation, so that some complicated extensions of PCA such as KPCA, MDPCA and high-order SVD, can be introduced and implemented to improve the accuracy and effectiveness of the vision data process. Furthermore, with network, data process with network based collaborative processing can be integrated, for instance semantic network [98] and context aware computation [7,51,55], to enhance the functionality thus the service. As for utilization, server based implementation is flexible and provides an online service access to user, serving as cloud computing mode to offer the service to users (e.g.…”

Section: Computing Corementioning

confidence: 99%

Extensions of principle component analysis with applications on vision based computing

Liu¹,

Kavakli²

2015

Multimed Tools Appl

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This paper mainly focuses on the principle component analysis (PCA) and its applications on vision based computing. The underlying mechanism of PCA given and several significant factors, involved with subspace training are discussed theoretically in detail including principle components energy, residuals assessment, and decomposition computation. The typical extensions, including probabilistic PCA (PPCA), kernel PCA (KPCA), multi-dimensional PCA and robust PCA (RPCA), have been presented with critical analysis on both mechanisms and computations. Combining with the studies on, such as, image compression, visual tracking, image recognition and super-resolution image reconstruction, PCA and its extensions applied to computer vision are critically reviewed and evaluated on the targeted issues in each application as well as the role they played at specific tasks to the characteristics, cost and suitable situations of each PCA based vision processing technique.

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“…3D city models have gained interest for routing purpose as 3D navigation techniques become available [22] and they contain objects that, are not available in 2D maps like steps and ramps, that, for instance, influence the navigable space for pedestrians [52]. If the 3D city model contains information on the interiour of buildings, this information can be use for way finding and accessibility applications [29,30,31,38,55].…”

Section: Semantic 3d City Models and Citygmlmentioning

confidence: 99%

Applications of 3D City Models for a Better Understanding of the Built Environment

Willenborg

Sindram

Kolbe

2017

Geotechnologies and the Environment

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The administration of modern cities is a complex task involving various disciplines. To satisfy their specific needs regarding planning and decision making, all of them require a virtual representation of the city. Semantic 3D city models offer a reliable and increasingly available virtual representation of real world objects in an urban context. They serve as an integration platform for information and applications around the city system, because data from different domains can be linked to the same objects representing real world urban objects. This work gives an overview on the current state of applications based on semantic 3D city models and how they can be categorized. Three use cases are explained in detail. Based on city models according to the CityGML standard, first a tool for estimating the solar irradiation on roofs and facades is introduced. By the combination of a transition model, sun position calculation, and an approximation of the hemisphere the direct, diffuse and global irradiation as well as the SkyViewFactor are computed. Second, an application for the simulation of detonations in urban space is presented. The city model is converted to a field-based representation for running a Computational Fluid Dynamics (CFD) simulation. By storing logical links between the object and the field-based representation of the city model, information exchange between the simulation tool and the city models is realized. The third application demonstrates the estimation of the energy demand of buildings based on official statistical data and the simulation of refurbishment measures. All three applications use a cloudbased 3D web client for visualization of the city model and the application results including interactive analysis capabilities.

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Context Aware Indoor Route Planning Using Semantic 3D Building Models with Cloud Computing

Cited by 8 publications

References 10 publications

On the Right Track: Comfort and Confusion in Indoor Environments

On the Right Track: Comfort and Confusion in Indoor Environments

Extensions of principle component analysis with applications on vision based computing

Applications of 3D City Models for a Better Understanding of the Built Environment

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