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Real-Time Bio-Inspired Polarization Heading Resolution System Based on ZYNQ Heterogeneous Computing.

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This study presents a novel system-on-chip (SoC) for polarization navigation, offering high integration and low power. The system achieves real-time heading angle output with minimal error, ideal for mobile applications.

Keywords:
ZYNQheading angle solutionpolarized lightpolarized navigation sensor

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Area of Science:

  • Navigation Technologies
  • Robotics and Autonomous Systems
  • Sensor Integration

Background:

  • Polarization navigation offers advantages like anti-interference and non-cumulative errors.
  • Emerging applications in aerospace, autonomous driving, and robotics demand integrated, low-power sensors.

Purpose of the Study:

  • To propose a system-on-chip (SoC) design for tri-directional polarization navigation sensors.
  • To meet high integration and low power consumption requirements for mobile navigation.

Main Methods:

  • Utilized ZYNQ MPSoC for core processing.
  • Implemented hardware acceleration on Programmable Logic (PL) for image acquisition, preprocessing, and edge detection.
  • Employed Processing System (PS) for task coordination, angle resolution, and solar meridian extraction via Hough transform.

Main Results:

  • Achieved an average heading angle output time interval of 9.43 milliseconds.
  • Demonstrated a mean error of 0.50° in heading angle determination.
  • Fulfilled real-time processing demands for mobile devices.

Conclusions:

  • The proposed SoC design effectively addresses the need for integrated, low-power polarization navigation systems.
  • The system's performance is suitable for real-time applications in autonomous systems and mobile devices.