Indoor localization using pedestrian dead reckoning updated with RFID-based fiducials.

Area of Science:

• Indoor positioning systems
• Wearable technology
• Sensor fusion

Background:

• Pedestrian dead reckoning (PDR) using inertial measurement units (IMUs) suffers from sensor drift and inaccuracies.
• Accurate indoor localization is crucial for various smart environment applications.

Purpose of the Study:

• To develop a low-cost wearable system for precise indoor individual tracking.
• To improve the accuracy of indoor localization by fusing inertial sensors with RFID technology.

Main Methods:

• A wearable prototype integrating an inertial measurement unit (IMU) and a radio frequency identification (RFID) tag reader was developed.
• Passive RFID tags were deployed as fiducial markers within the smart environment.
• Sensor fusion algorithms combined IMU data with RFID tag detections to correct positional errors.

Main Results:

• The proposed RFID-fused system demonstrated a significant improvement in indoor localization accuracy.
• Experimental results showed over a 1200% enhancement in average error rate compared to PDR alone.
• The system effectively corrects positional errors caused by IMU sensor drift.

Conclusions:

• The fusion of IMU-based PDR with RFID technology offers a robust and accurate solution for indoor localization.
• This low-cost wearable system provides a practical approach for tracking individuals in smart environments.
• The findings highlight the potential of RFID-assisted PDR for enhancing navigation and location-based services.