18507410. FINGERPRINT DATA PRE-PROCESS METHOD FOR IMPROVING LOCALIZATION MODEL simplified abstract (INTERNATIONAL BUSINESS MACHINES CORPORATION)

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FINGERPRINT DATA PRE-PROCESS METHOD FOR IMPROVING LOCALIZATION MODEL

Organization Name

INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor(s)

Masayuki Murata of Tokyo (JP)

Daisuke Sato of Chiba-ken (JP)

FINGERPRINT DATA PRE-PROCESS METHOD FOR IMPROVING LOCALIZATION MODEL - A simplified explanation of the abstract

This abstract first appeared for US patent application 18507410 titled 'FINGERPRINT DATA PRE-PROCESS METHOD FOR IMPROVING LOCALIZATION MODEL

Simplified Explanation

The patent application describes a method for correcting the position of a mobile object using observation data and signal strength of a wireless signal.

  • Acquiring observation data with position and signal strength information of a mobile object.
  • Correcting the position of the mobile object in the observation data using one position at a time.
  • Observing the signal strength after correcting the position of the mobile object.

Potential Applications

This technology could be applied in:

  • Location tracking systems for mobile devices.
  • Autonomous navigation systems for vehicles.
  • Indoor positioning systems for large facilities.

Problems Solved

This technology solves the following problems:

  • Inaccuracies in position tracking of mobile objects.
  • Signal interference affecting location accuracy.
  • Improving the reliability of wireless signal-based positioning systems.

Benefits

The benefits of this technology include:

  • Enhanced accuracy in determining the position of mobile objects.
  • Improved performance of location-based services.
  • Better efficiency in navigation and tracking applications.

Potential Commercial Applications

Optimizing Position Correction Method for Mobile Objects: Improving Location Accuracy and Signal Strength.


Original Abstract Submitted

Provided is a computer-implemented method including acquiring a first pieces of observation data that include a position of a mobile object and a received signal strength of a wireless signal observed by the mobile object; and correcting each position of the mobile object included in each piece of observation data of the first pieces of observation data using one position of the mobile object at a time before the received signal strength included in the piece of observation data is observed.