A conceptual framework of space subdivision for indoor navigation

Authors:
Sisi Zlatanova;Liu Liu;George Sithole
Affiliations:
Delft University of Technology, BX Delft, The Netherlands;Delft University of Technology, BX Delft, The Netherlands;University of Cape Town, Cape Town, South Africa
Venue:
Proceedings of the Fifth ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness
Year:
2013

Citing 8
Cited 0

Goal-Directed Navigation for Animated Characters Using Real-Time Path Planning and Control

CAPTECH '98 Proceedings of the International Workshop on Modelling and Motion Capture Techniques for Virtual Environments
A Spatial Access-Oriented Implementation of a 3-D GIS Topological Data Model for Urban Entities

Geoinformatica
Constructing Hierarchical Representations of Indoor Spaces

MDM '09 Proceedings of the 2009 Tenth International Conference on Mobile Data Management: Systems, Services and Middleware
Supporting 3D route planning in indoor space based on the LEGO representation

Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness
The informatics of indoor and outdoor space: a research agenda

Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness
Modeling indoor space

Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness
A hybrid spatial model for representing indoor environments

W2GIS'06 Proceedings of the 6th international conference on Web and Wireless Geographical Information Systems
A semantic data model for indoor navigation

Proceedings of the Fourth ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents a conceptual foundation for the description of interiors of buildings. This framework concentrates specifically on physical and conceptual subdivisions of indoor space, which supports indoor localization and navigation. Considering user and environmental factors into account, it can be used for flexible context aware path-planning in any indoor environment. The ultimate goal of the framework is to enable automatic subdivision of indoor space and on-the-fly creation of a gridded or irregular network.