Volume IV-2/W4
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2/W4, 335-342, 2017
https://doi.org/10.5194/isprs-annals-IV-2-W4-335-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2/W4, 335-342, 2017
https://doi.org/10.5194/isprs-annals-IV-2-W4-335-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.

  14 Sep 2017

14 Sep 2017

A CONCEPTUAL FRAMEWORK FOR INDOOR MAPPING BY USING GRAMMARS

X. Hu1, H. Fan1, A. Zipf1, J. Shang2,3, and F. Gu4 X. Hu et al.
  • 1GIScience Research Group, Institute of Geography, Heidelberg University, Heidelberg, Germany
  • 2Faculty of Information Engineering, China University of Geosciences, Wuhan, China
  • 3National Engineering Research Center for Geographic Information System, Wuhan, China
  • 4Department of Infrastructure Engineering, University of Melbourne, Melbourne, Australia

Keywords: Indoor mapping, Semantic maps, Shape grammar, Attribute grammar, Layout principle, Research buildings

Abstract. Maps are the foundation of indoor location-based services. Many automatic indoor mapping approaches have been proposed, but they rely highly on sensor data, such as point clouds and users’ location traces. To address this issue, this paper presents a conceptual framework to represent the layout principle of research buildings by using grammars. This framework can benefit the indoor mapping process by improving the accuracy of generated maps and by dramatically reducing the volume of the sensor data required by traditional reconstruction approaches. In addition, we try to present more details of partial core modules of the framework. An example using the proposed framework is given to show the generation process of a semantic map. This framework is part of an ongoing research for the development of an approach for reconstructing semantic maps.