Paper Info
Title
Formal definition of a user-adaptive and length-optimal routing graph for complex indoor environments
Abstract
Car routing solutions are omnipresent and solutions for pedestrians also exist. Furthermore, public or commercial buildings are getting bigger and the complexity of their internal structure has increased. Consequently, the need for indoor routing solutions has emerged. Some prototypes are available, but they still lack semantically-enriched modelling (e.g., access constraints, labels, etc.) and are not suitable for providing user-adaptive length-optimal routing in complex buildings. Previous approaches consider simple rooms, concave rooms, and corridors, but important characteristics such as distinct areas in huge rooms and solid obstacles inside rooms are not considered at all, although such details can increase navigation accuracy. By formally defining a weighted indoor routing graph, it is possible to create a detailed and user-adaptive model for route computation. The defined graph also contains semantic information such as room labels, door accessibility constraints, etc. Furthermore, one-way paths inside buildings are considered, as well as three-dimensional building parts, e.g., elevators or stairways. A hierarchical structure is also possible with the presented graph model.
Year
DOI
Venue
2011
10.1007/s11806-011-0474-3
Geo-spatial Information Science
Keywords
Field
DocType
3d indoor routing,routing graph,city modelling,buildings,buildings clc number p208,formal definition,3d indoor navigation,three dimensional
Computer vision,Graph,Simulation,Formal description,Theoretical computer science,Semantic information,Elevator,Artificial intelligence,Mathematics,Graph model,Computation
Journal
Volume
Issue
ISSN
14
2
1993-5153
Citations 
PageRank 
References 
18
0.89
8
Authors
2
Name
Order
Citations
PageRank
Marcus Goetz11006.07
Alexander Zipf226924.52