研究目的
To propose a low-cost, high-robust, high-precision indoor positioning technology by combining PDR and VLP, improving positioning accuracy and stability.
研究成果
The proposed VLP-assisted smartphone-based PDR technology significantly improves indoor positioning accuracy and reliability, offering a low-cost solution with sub-meter level accuracy. The method's innovative processing of heading angle data and two-level verification for VLP decoding enhances performance and user experience.
研究不足
Requires LED beacons for VLP, which may limit applicability in areas without such infrastructure. The method's performance may vary with smartphone sensor quality.
1:Experimental Design and Method Selection:
Combines PDR and VLP algorithms for indoor positioning. Uses averaging of mode for heading angle data processing and two-level verification method for VLP.
2:Sample Selection and Data Sources:
Uses smartphone inertial sensors and LED beacons for data collection.
3:List of Experimental Equipment and Materials:
Samsung GALAXY S7 smartphones and LED lights.
4:Experimental Procedures and Operational Workflow:
Captures LED images with smartphone camera, processes images to decode position information, and corrects PDR positioning errors.
5:Data Analysis Methods:
Uses dynamic decision threshold for image processing and CRC with range constraint for decoding verification.
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