NavigAIte

NavigAIte – AIoT On-Board Localization System for UAVs in GPS-Denied or Unreliable Environments

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NavigAIte is a research and development project focused on creating an on-board localization system for unmanned aerial vehicles (UAVs), capable of operating in GPS-denied or communication-compromised environments. By leveraging AIoT (Artificial Intelligence of Things) and TinyML (Tiny Machine Learning), the system processes data from IMU, LiDAR, AHRS, and other sensors directly on low-power embedded platforms.

Project Objectives

  • Design an AIoT system architecture for GPS-free UAV localization using energy-efficient AI techniques.
  • Integrate UAV sensors (IMU, AHRS, altimeter, Pitot tube, LiDAR) with communication systems into a hybrid localization model.
  • Generate application-specific datasets using UAV flights in civil security risk scenarios.
  • Develop TinyML algorithms and a lightweight framework for accurate, real-time localization.
  • Test the full system on a real UAV platform to validate performance.

Research Focus

  • Edge AI / TinyML for autonomous aerial systems
  • Localization without GPS support
  • Integration of AIoT in UAV platforms
  • Applications in civil security and emergency response

Consortium and Partners

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Implementation Timeline

Start Date: April 1, 2025
End Date: December 31, 2026

Funding

Funded by UEFISCDI under the PED2024 Program
Total budget: €150,000

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Expected Outcomes

  • A functional AIoT-based localization system for UAVs without GPS
  • TinyML algorithms tailored for real-time aerial localization on embedded devices
  • Custom datasets and benchmarks for UAV operations in GPS-limited scenarios
  • Documentation and validation results for future adoption and deployment

The NavigAIte project supports UAV operations in emergency, security, and disaster-response missions by delivering robust, GPS-independent navigation solutions through advanced AIoT technologies.