Abstract
Abstract. There is an increasing activity in developing workflows and implementations to convert BIM data into CityGML. However, there are still not many platforms that are suitable to view and interact with the detailed information stored as a result of such conversions, especially if an Application Domain Extension (ADE) is involved to support additional information. We investigated the ease of use and features supported by visualisation software and tools with CityGML and ADE support, and propose an approach to develop a tool that combines useful features using a set of generic rules that can extract CityGML ADE attributes. The work, while generic, is geared towards detailed architectural datasets sourced from BIM. We implemented the approach in a web-based viewer supporting the visualisation of CityGML datasets enriched with ADE features.
Highlights
There has been an increasing effort into converting Building Information Modelling (BIM) datasets into CityGML (ElMekawy et al, 2012; Liu et al, 2017; Zhu et al, 2018; Noardo et al, 2019)
We provide a brief introduction to CityGML and Application Domain Extension (ADE), as well as a review of software and tools available to support the visualisation of and interaction with CityGML files containing ADEs, focusing on their ease of use and the features they provide for interaction with objects in the model and their attributes
The main takeaway from these simple tests with a number of different software and files was that CityGML viewers that support ADE fully out of the box are not common
Summary
There has been an increasing effort into converting Building Information Modelling (BIM) datasets into CityGML (ElMekawy et al, 2012; Liu et al, 2017; Zhu et al, 2018; Noardo et al, 2019). One of the main motivation is to leverage on information created during the design phase of construction (Donkers et al, 2016; Stouffs et al, 2018), enabling the generation of highly detailed models with interior benefiting many applications (Boeters et al, 2015; Isikdag et al, 2013; Chen et al, 2014; Atazadeh et al, 2017; Biljecki et al, 2015) Such conversions have been accomplished by different methods, some of which simplify and omit information from the BIM models to better suit CityGML and the geospatial world (Deng et al, 2016; Donkers et al, 2016; Kang and Hong, 2017; Lim et al, 2019). Since building-scale data may be heavy, we include large files in the review
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