Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-4/W5, 19-23, 2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
11 May 2015
Q. Xiong1, Q. Zhu1,2, S. Zlatanova3, Z. Du1, Y. Zhang1, and L. Zeng2 1State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing, Wuhan University, P.O. Box C310, 129 Luoyu Road, Wuhan, Hubei, 430079, P.R. China
2Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, Sichuan, P.R. China
3GISt, OTB, Delft University of Technology, Jaffalaan 9, 2628 BX Delft, the Netherlands
Keywords: indoor, path planning, semantic Abstract. Indoor navigation is increasingly widespread in complex indoor environments, and indoor path planning is the most important part of indoor navigation. Path planning generally refers to finding the most suitable path connecting two locations, while avoiding collision with obstacles. However, it is a fundamental problem, especially for 3D complex building model. A common way to solve the issue in some applications has been approached in a number of relevant literature, which primarily operates on 2D drawings or building layouts, possibly with few attached attributes for obstacles. Although several digital building models in the format of 3D CAD have been used for path planning, they usually contain only geometric information while losing abundant semantic information of building components (e.g. types and attributes of building components and their simple relationships). Therefore, it becomes important to develop a reliable method that can enhance application of path planning by combining both geometric and semantic information of building components. This paper introduces a method that support 3D indoor path planning with semantic information.
Conference paper (PDF, 988 KB)

Citation: Xiong, Q., Zhu, Q., Zlatanova, S., Du, Z., Zhang, Y., and Zeng, L.: MULTI-LEVEL INDOOR PATH PLANNING METHOD, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-4/W5, 19-23,, 2015.

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