Review of Data Models for Indoor Mapping and Modeling
ISBN 978-85-88783-11-9
Authors
1Chen, J.; 2Clarke, K.C.
1UNIVERSITY OF CALIFORNIA, SANTA BARBARA Email: jorgechen@umail.ucsb.edu
2UNIVERSITY OF CALIFORNIA, SANTA BARBARA Email: kcclarke@ucsb.edu
Abstract
Indoor spaces provide an exciting platform for extending geographic and cartographic research beyond the great outdoors, but the existence of multiple indoor data models can be confusing. This paper examines the building information modeling (BIM) representation, CityGML, and IndoorGML, as well as other lesser known indoor modeling approaches. Included in this review are discussions on each model’s historical development, major features, intended uses, and implementation. A summary and side-by-side comparison of key features in BIM, CityGML, and IndoorGML is also provided at the end of this paper.
Keywords
indoor mapping and modeling; BIM, CityGML, IndoorGML; Open Street Map