Abstract
With the increasing development of indoor positioning technologies such as Wifi and RFID, indoor location based services (LBSs) has been a hot topic in recent years. Differing from GPS-based outdoor LBSs, we lack sufficient indoor maps which are the foundation of indoor LBSs. In this paper, we present a database approach to extract indoor spatial objects, e.g., rooms and doors, from CAD models, and then transform them into an indoor moving-object database. With this mechanism, we are able to efficiently generate indoor maps and support indoor-space queries. In addition, we implement a prototype system to demonstrate the feasibility of our proposal. It shows that our approach has a high precision on extracting indoor spatial objects and can support indoor spatial queries effectively.
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Acknowledgements
This work is supported by the National Science Foundation of China (61379037, 61472376, and 61272317) and the OATF project funded by University of Science and Technology of China.
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Xu, D., Jin, P., Zhang, X., Du, J., Yue, L. (2015). Extracting Indoor Spatial Objects from CAD Models: A Database Approach. In: Liu, A., Ishikawa, Y., Qian, T., Nutanong, S., Cheema, M. (eds) Database Systems for Advanced Applications. DASFAA 2015. Lecture Notes in Computer Science(), vol 9052. Springer, Cham. https://doi.org/10.1007/978-3-319-22324-7_27
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DOI: https://doi.org/10.1007/978-3-319-22324-7_27
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