Attitude Sensor Misalignment Correction Using Single Image

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Solution Overview

Problem

Existing methods for correcting attitude angle sensor misalignment in spacecraft and aircraft require stereoscopic image information for three-dimensional correction or can only correct two-dimensional misalignment using single image information, limiting their effectiveness.

Innovation Solution

A method for calculating a ground control point reference vector and observation vector from single image information to determine an attitude error matrix, allowing for three-dimensional misalignment correction of the attitude angle sensor.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If stereoscopic image information is used to correct three-dimensional misalignment, then three-dimensional misalignment correction is achieved, but device complexity and data processing requirements increase

Engineering Contradiction:
Improvethree-dimensional misalignment correction accuracyVSAvoidstereoscopic image processing complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent extracts and utilizes only the essential single image information containing ground control points, removing the requirement for complex stereoscopic image processing while retaining the capability to calculate three-dimensional misalignment correction parameters through selective extraction of necessary data elements

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The patent changes the parameter representation by using alternative calculation methods that derive three-dimensional correction parameters from single image ground control point coordinates, transforming the problem from requiring stereoscopic depth information to using planar coordinate geometry with modified calculation formulas

Inventive Principle:
Principle #35Parameter changes

2Device complexity

If single image information is used for misalignment correction, then device complexity is reduced, but only two-dimensional misalignment can be corrected

Engineering Contradiction:
Improveimage processing system complexityVSAvoidmisalignment correction dimensionality
Core Design Contradiction:
Device complexityVSMeasurement precision

Solution Approach 1:

The patent applies dimensionality change by using single two-dimensional image coordinates of ground control points and transforming them into three-dimensional correction parameters through mathematical relationships that incorporate camera position, attitude, and ground elevation data, effectively adding the third dimension through calculation rather than through stereoscopic imaging

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

3Measurement precision

If ground control points are calculated from single image information, then three-dimensional misalignment correction becomes possible, but calculation complexity increases

Engineering Contradiction:
Improvethree-dimensional misalignment correction capabilityVSAvoidground control point calculation complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent replaces complex mechanical or computational stereoscopic processing systems with a simplified computational approach that uses standard single image photogrammetry formulas combined with attitude sensor data to directly calculate three-dimensional misalignment parameters, substituting mechanical complexity with elegant mathematical relationships

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentEP2199207B1Three-dimensional misalignment correction method of attitude angle sensor using single image
Publication Date: 2013.03.13 KOREA AEROSPACE RES INST
  • EP2199207B1 patent drawingFigure 1
  • EP2199207B1 patent drawingFigure 2
  • EP2199207B1 patent drawingFigure 3

AI summary

A method for correcting three-dimensional misalignment information of an attitude angle sensor using a single image is disclosed. The method includes calculating a ground control point reference vector (S100), calculating a ground control point observation vector (S200) using image information, calculating an attitude error matrix (S300) using the ground control point reference vector and the ground control point observation vector, and correcting attitude angle sensor misalignment using the attitude error matrix (S400).