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Related Experiment Video

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An Autonomous Localization Vest System Based on Advanced Adaptive PDR with Binocular Vision Assistance.

Tianqi Tian1,2, Yanzhu Hu1,2, Xinghao Zhao3

  • 1Key Laboratory of IoT Monitoring and Early Warning, Ministry of Emergency Management, Beijing University of Posts and Telecommunications, Beijing 100876, China.

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Summary

This study introduces a wearable autonomous localization vest for rescuers, combining advanced adaptive pedestrian dead reckoning (APDR) and binocular vision. The system offers low-cost, high-precision indoor navigation, significantly reducing positioning errors in complex environments.

Keywords:
adaptive pedestrian dead reckoningautonomous localizationbinocular visionstep length estimationvisual inertial odometry

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Area of Science:

  • Robotics
  • Navigation Systems
  • Sensor Fusion

Background:

  • Indoor navigation systems often rely on external infrastructure, leading to unreliable positioning in complex environments.
  • Existing solutions face challenges with accuracy, cost, and reliability, particularly for critical applications like rescue operations.

Purpose of the Study:

  • To develop a low-cost, high-reliability, and high-precision autonomous localization system for rescuers.
  • To improve indoor navigation accuracy by integrating advanced adaptive pedestrian dead reckoning (APDR) with binocular vision.
  • To create a wearable system suitable for complex and infrastructure-limited environments.

Main Methods:

  • Developed a chest-mounted APDR method incorporating dynamic step segmentation and adaptive step length estimation.
  • Integrated step length features into a visual tracking algorithm to constrain errors.
  • Fused visual and dead reckoning data using an extended Kalman filter (EKF) for enhanced positioning.

Main Results:

  • The wearable autonomous localization vest system demonstrated reduced average positioning error by 45.14% and endpoint error by 38.6% compared to visual-inertial odometry (VIO).
  • Optimal sensor placement was identified on the chest for APDR.
  • The system proved effective in diverse indoor environments including corridors, parking lots, and tunnels.

Conclusions:

  • The proposed system offers a practical, low-cost, and wearable solution for autonomous indoor localization.
  • The integration of APDR and binocular vision via EKF significantly enhances positioning reliability and accuracy.
  • This technology effectively addresses the autonomous positioning needs of rescuers in disaster scenarios.