Print Email Facebook Twitter Multi-level Indoor Path Planning Method Title Multi-level Indoor Path Planning Method Author Xiong, Q. Zhu, Q. Zlatanova, S. Du, Z. Zhang, Y. Zeng, L. Faculty Architecture and The Built Environment Department Urbanism Date 2015-05-21 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. Subject indoorpath planningsemantic To reference this document use: http://resolver.tudelft.nl/uuid:affcbf4e-f14e-41ba-89f8-946cc4921e2c Publisher International Society for Photogrammetry and Remote Sensing (ISPRS) ISSN 1682-1750 Source https://doi.org/10.5194/isprsarchives-XL-4-W5-19-2015 Source International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 40 (4/W5), 2015; Indoor-Outdoor Seamless Modelling, Mapping and Navigation, 21–22 May 2015, Tokyo, Japan Part of collection Institutional Repository Document type conference paper Rights © 2015 The Author(s)This work is distributed under the Creative Commons Attribution 3.0 License. Files PDF 318487.pdf 988.21 KB Close viewer /islandora/object/uuid:affcbf4e-f14e-41ba-89f8-946cc4921e2c/datastream/OBJ/view