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Conference Paper Integrated Raw Data Collection and Validation System for Indoor Positioning
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Authors
Yangkoo Lee, Minjung Kim, Giyoung Lee, Jaejun Yoo, Daesub Yoon
Issue Date
2023-07
Citation
International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) 2023, pp.1-6
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/ICECCME57830.2023.10252332
Project Code
23IR2100, Development of Advanced Technology for Absolute, Relative, and Continuous Complex Positioning to Acquire Ultra-precise Digital Land Information, Jaejun Yoo
Abstract
Recent indoor positioning technologies have evolved into AI-based hybrid positioning systems that utilize wireless communication devices, IMU sensors, cameras, and other devices embedded in smartphones, and the amount of data used for positioning is increasing. This paper introduces a raw data collection and validation system that supports more accurate and easier data collection by the collector during the expanding data collection stage, and supports the validation of the collected results on-site. The proposed system minimizes the collector's position error using indoor maps and PDR technology, and synchronizes the collected raw data with the estimated position of the collector to create high-quality raw data. In addition, the raw data validation system supports the collector to directly verify the quality of the collected data by simulating the performance of the positioning algorithm and the quality of the raw data.
KSP Keywords
Communication device, Data Collection, Data Validation, High-quality, IMU sensor, Indoor Positioning, Indoor map, On-Site, Position error, Positioning algorithm, Positioning technology