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Real-Time UAV Autonomous Localization Based on Smartphone Sensors.

Boxin Zhao1, Xiaolong Chen2, Xiaolin Zhao3

  • 1Equipment management and UAV Engineering College, Air force Engineering University, Xi'an 710038, China. boxin.zhao@hotmail.com.

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Summary

This study demonstrates that smartphone sensors can enable accurate, real-time autonomous localization for small unmanned aerial vehicles (UAVs) in GPS-denied areas. This overcomes previous limitations, allowing UAVs to navigate without relying on external positioning systems.

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UAV autonomous localizationmulti-sensor fusionsmartphone sensors

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Area of Science:

  • Robotics
  • Navigation Systems
  • Sensor Fusion

Background:

  • Localization is a critical challenge for small unmanned aerial vehicles (UAVs) operating in environments without Global Positioning System (GPS) access.
  • Smartphones offer integrated multi-sensor and processing capabilities, making them attractive for lightweight UAVs, but their inherent sensor inaccuracies and limited resources pose challenges for traditional localization methods.

Purpose of the Study:

  • To investigate the feasibility of using smartphone sensors for autonomous localization in GPS-denied environments.
  • To develop a real-time, low-memory localization method for "small UAV + smartphone" systems to overcome resource limitations.

Main Methods:

  • Utilized an off-the-shelf smartphone equipped with multi-sensors.
  • Integrated smartphone sensors with a XAircraft 650 quad-rotor platform for autonomous flight experiments.
  • Developed and implemented a novel, memory-efficient autonomous localization algorithm.

Main Results:

  • Demonstrated the precision performance of integrated smartphone sensors for localization tasks.
  • Achieved real-time and accurate localization capabilities within an indoor environment.
  • Validated the feasibility of smartphone-based navigation for UAVs in GPS-denied scenarios.

Conclusions:

  • Smartphone sensors are viable for precise autonomous localization in GPS-denied environments.
  • The developed method enables "small UAV + smartphone" systems to operate effectively without external positioning.
  • This approach addresses the bottleneck of localization for small UAVs in challenging operational areas.