Abstract
Abstract. We implemented the semantic models required to develop an indoor navigation system to assist the movement of users with different physical mobility conditions inside the building of the Faculty of Agricultural Sciences of the National University of Colombia. Everything starts with the recollection of architectural data followed by an analysis and depuration of unnecessary elements (geometrically and semantically) ending with two models: 1) a CityGML model of the interior of the building (LOD4), being the data source for the IndoorGML model and for visualization, 2) an IndoorGML model, provider of the semantic network for the future application of routing algorithms. We present resulting models with the discussion of the challenges and limitations that authors face during this work.
Highlights
This investigation implements the current official data model CityGML v.2 OGC (2012)
Consists in the informaThis ongoing research implements the required 3D models for tion’s preparation, the CityGML construction is presented an indoor navigation system that takes into account the user’s and last, we derive the IndoorGML model from the previous particular mobility conditions, such as disability and visual impair- model
CityGML model creation alization of the storeys in the navigation system.We modelled in LOD4, using to the Building thematic module
Summary
This investigation implements the current official data model CityGML v.2 OGC (2012). Consists in the informaThis ongoing research implements the required 3D models for tion’s preparation, the CityGML construction is presented an indoor navigation system that takes into account the user’s and last, we derive the IndoorGML model from the previous particular mobility conditions, such as disability and visual impair- model. We should point it out that we automated the creation ment. It requires the building model to have a of the CityGML and IndoorGML models as much as possible high level of geometric and semantic detail from which they using several FME workbenches (Safe, 2020). support the navigation system
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