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VIMO: A Visual-Inertial-Magnetic Navigation System Based on Non-Linear Optimization.

Jingzhe Wang1, Leilei Li1, Huan Yu1

  • 1School of Automation, Beijing Institute of Technology, Beijing 100081, China.

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Summary
This summary is machine-generated.

This study introduces a new visual-inertial-magnetic navigation system to improve yaw estimation accuracy. Incorporating magnetic data significantly enhances heading accuracy and overall navigation performance in outdoor environments.

Keywords:
magnetic informationnon-linear optimizationvisual-inertial navigationyaw estimation

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Area of Science:

  • Robotics
  • Computer Vision
  • Navigation Systems

Background:

  • Visual-inertial navigation systems offer high precision but struggle with unobservable yaw.
  • Accurate yaw estimation is crucial for precise attitude and position calculations.

Purpose of the Study:

  • To develop a novel navigation scheme that integrates visual, inertial, and magnetic measurements.
  • To suppress yaw deviation and enhance the accuracy of visual-inertial systems.

Main Methods:

  • A new initialization method for visual-inertial-magnetic odometers was developed.
  • Non-linear optimization incorporated a magnetometer cost function as a yaw constraint.
  • Extensive datasets were collected in large-scale outdoor environments for validation.

Main Results:

  • The proposed system demonstrated viability, robustness, and high performance.
  • Experiments confirmed the positive impact of magnetic information on yaw estimation.
  • Quantitative comparisons validated the system's superiority over existing methods.

Conclusions:

  • The novel visual-inertial-magnetic system effectively improves yaw estimation accuracy.
  • Magnetic information is a valuable addition for enhancing navigation system performance.
  • The developed initialization method is robust and accurate.