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Seamless Fusion: Multi-Modal Localization for First Responders in Challenging Environments.

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Summary
This summary is machine-generated.

This study presents a fused localization system for first responders, combining visual, Galileo, and inertial data. The robust solution ensures accurate indoor/outdoor positioning without infrastructure, improving responder safety and operational efficiency.

Keywords:
Galileo satellite navigationfirst respondersinertial navigationmulti-modal localizationseamless fusionself-localizationsensor fusionvisual localization

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Area of Science:

  • Robotics and Sensor Fusion
  • Geomatics Engineering
  • Emergency Response Technology

Background:

  • Precise localization of first responders is critical in dynamic environments.
  • Existing localization methods often fail indoors or rely on external infrastructure.
  • Responder safety and operational effectiveness depend on reliable positioning.

Purpose of the Study:

  • To develop and validate a novel, infrastructure-free fused localization system for first responders.
  • To integrate visual, Galileo (GNSS), and inertial sensor data for robust positioning.
  • To achieve accurate and seamless indoor and outdoor localization capabilities.

Main Methods:

  • Visual-based localization using RGB camera and ORB-SLAM2.
  • Galileo-based localization with a high-accuracy GNSS receiver prototype.
  • Inertial-based localization via smartphone inertial measurement units (IMUs) for sensor fusion.
  • Fusion of the three modalities to create a comprehensive localization tool.

Main Results:

  • The fused localization tool provides continuous positioning across diverse environments (indoor/outdoor).
  • The system demonstrates robustness, functioning without reliance on pre-existing infrastructure.
  • Achieved an overall mean localization error of 1.73 meters.

Conclusions:

  • The proposed fused localization system offers a reliable and accurate solution for first responders.
  • This technology enhances responder safety and operational effectiveness in unpredictable scenarios.
  • The infrastructure-free approach ensures consistent performance regardless of environmental conditions.