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http://hdl.handle.net/10397/105605
Title: | Indoor floor plan construction through sensing data collected from smartphones | Authors: | Peng, Z Gao, S Xiao, B Wei, G Guo, S Yang, Y |
Issue Date: | Dec-2018 | Source: | IEEE internet of things journal, Dec. 2018, v. 5, no. 6, p. 4351-4364 | Abstract: | With the development of sensing technology, smartphones can provide various kinds of data, including inertial sensing data, WiFi data, depth data, and images. These data make it possible to construct accurate indoor floor plans that are the critical foundations of flourishing indoor location-based services for smartphone. However, even with the popular crowdsourcing approach, the wide construction of indoor floor plans has not yet to be realized due to the intensive time consumption. In this paper, we utilize deep learning techniques to build PlanSketcher, a system that enables one user to construct fine-grained and facility-labeled indoor floor plans accurately. First, the proposed system extracts novel integrated features to recognize diverse landmarks. Second, traverse-independent hallway topologies are constructed based on the sensing data, depth data, and images through the proposed hallway construction algorithms. Finally, PlanSketcher constructs the room shape and labels recognized facilities in their corresponding positions to generate a complete indoor floor plan. Because PlanSketcher exploits different kinds of data collected from smartphones with new feature extraction method, it can obtain accurate indoor floor plan topology and facility labels. We implement PlanSketcher and conduct extensive experiments in three large indoor settings. The evaluation results show that the 90th percentile accuracy of positions and orientations of facilities are 1 m–2.5 m and 4°–6°, while 85%–95% facilities are recognized and labeled precisely. | Keywords: | Energy consumption Facility label Indoor floor plan construction Sensing data Smartphone |
Publisher: | Institute of Electrical and Electronics Engineers | Journal: | IEEE internet of things journal | ISSN: | 2576-3180 | EISSN: | 2327-4662 | DOI: | 10.1109/JIOT.2018.2863688 | Rights: | © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The following publication Z. Peng, S. Gao, B. Xiao, G. Wei, S. Guo and Y. Yang, "Indoor Floor Plan Construction Through Sensing Data Collected From Smartphones," in IEEE Internet of Things Journal, vol. 5, no. 6, pp. 4351-4364, Dec. 2018 is available at https://doi.org/10.1109/JIOT.2018.2863688. |
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Peng_Indoor_Floor_Plan.pdf | Pre-Published version | 5.6 MB | Adobe PDF | View/Open |
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