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ABSTRACT:Recently, many applications for indoor space are developed. The most realistic way to service an indoor space application is on the omni-directional image so far. Due to limitations of positioning technology and indoor space modelling, however, indoor navigation service can't be implemented properly. In 2014, IndoorGML is approved as an OGC's standard. This is an indoor space data model

Abstract. Naturally, human beings freely navigate indoor space to outdoor space and optionally to another indoor space. However, currently available data models to represent space do not fully reflect this freedom and continuity of movement. These shortfalls hinder the development of location-based applications from aiding this navigation activity and affect the accuracy and optimality of route analysis. Existing models used for this purpose either represent indoor and outdoor space separately or use direct links that do not fully represent the freedom of movement and the complexity of urban areas. While these approaches use single-feature representations of the connection of these spaces through nodes for the building entrances, Transitional Spaces exist at these locations and must be represented accordingly in navigation networks. In this paper, we illustrate how currently defined IndoorGML concepts can be utilized for integrating indoor and outdoor navigation networks through the Transitional Spaces. We perform an experimental case using sample data to demonstrate the limitations of this model. From this, we discuss the developmental direction of the Anchor Node concept towards developing a model to fully represent navigation on an integrated indoor-outdoor network.