Print Email Facebook Twitter Indoor Semantic Modelling for Routing Title Indoor Semantic Modelling for Routing: The Two-Level Routing Approach for Indoor Navigation Author Liu, L. (TU Delft Urban Data Science) Contributor van Oosterom, P.J.M. (promotor) Zlatanova, S. (copromotor) Degree granting institution Delft University of Technology Date 2017-12-05 Abstract Humans perform many activities indoors and they show a growing need for indoor navigation, especially in unfamiliar buildings such as airports, museums and hospitals. Complexity of such buildings poses many challenges for building managers and visitors. Indoor navigation services play an important role in supporting these indoor activities. Indoor navigation covers extensive topics such as: 1) indoor positioning and localization; 2) indoor space representation for navigation model generation; 3) indoor routing computation; 4) human wayfinding behaviours; and 5) indoor guidance (e.g., textual directories). So far, a large number of studies of pedestrian indoor navigation have presented diverse navigation models and routing algorithms/methods. However, the major challenge is rarely referred to: how to represent the complex indoor environment for pedestrians and conduct routing according to the different roles and sizes of users. Such complex buildings contain irregular shapes, large open spaces, complicated obstacles and different types of passages. A navigation model can be very complicated if the indoors are accurately represented. Although most research demonstrates feasible indoor navigation models and related routing methods in regular buildings, the focus is still on a general navigation model for pedestrians who are simplified as circles. In fact, pedestrians represent different sizes, motion abilities and preferences (e.g., described in user profiles), which should be reflected in navigation models and be considered for indoor routing (e.g., relevant Spaces of Interest and Points of Interest)... To reference this document use: http://resolver.tudelft.nl/uuid:40873d8a-b698-4bd1-a9a5-4803989ba537 DOI https://doi.org/10.7480/abe.2017.17 Publisher A+BE | Architecture and the Built Environment ISBN 978-94-92516-93-0 Bibliographical note A+BE | Architecture and the Built Environment No. 17 (2017) Part of collection Institutional Repository Document type doctoral thesis Rights © 2017 L. Liu Files PDF 978_94_92516_93_0_WEB.pdf 7.71 MB PDF Propositions_LiuLiu.pdf 298.9 KB Close viewer /islandora/object/uuid:40873d8a-b698-4bd1-a9a5-4803989ba537/datastream/OBJ1/view