| Summary: | 博士 === 國立交通大學 === 資訊管理研究所 === 103 === For the past few years, indoor positioning and maintaining has been drawn much attention. However, because of environmental limitation and building structure, it is still a challenging problem. To address this problem, in this thesis, we propose a state-of-the-art indoor positioning and maintaining system. The proposed system supports a Building Information Modeling (BIM) based Access Point Deployment (BAPD), indoor positioning and pothole detection. By using the BIM/Industry Foundation Classes (IFC) file as input/output to form a new algorithm IFA, the BAPD can identify the minimal set of access points (IEEE 802.11) while still providing full signal coverage. As to indoor positioning, signals of both cellular networks (4G/3G) and local area networks (IEEE 802.11) are examined. Signal strength, time serial, and transmission characteristic are taken into consideration for positioning. Also, for maintaining building floors, a pothole detection method is suggested. This method first finds potential potholes by analyzing mobile sensor data. It then tries to identify the exact location of the potholes by using the spatial interpolation algorithm. In practice, the augmented-reality technology is used to develop the system. Simulation results indicate the proposed system is both effective and efficient.
The results show that IFA overall accuracy rate is 94.96%, BAPD effectively reduces the distribution access points down to 29.27%, the integration of indoor positioning with heterogeneous network may be reduced the tolerance of positioning from 15.89 meters to 79 centimeters, and the error rate of the real-time pothole detection is zero. Finally, the use of augmented reality could effectively direct the user go to the nearest parking space and mark the direction and distance.
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