Method for characterising the movement of an object, and associated computer, system and carrier
The method uses a Kalman filter with interval analysis and differential constraints to accurately detect deviations from uniform linear motion, enhancing passive distance estimation by reducing uncertainty in object movement characterization.
AE202602077AUndeterminedTHALES SA
Patent Information
- Authority / Receiving Office
- AE · AE
- Patent Type
- Applications
- Current Assignee / Owner
- THALES SA
- Filing Date
- 2024-12-19
AI Technical Summary
Technical Problem
Existing methods for passive distance estimation using a Kalman filter diverge when the object's movement deviates from assumed uniform linear motion, particularly during maneuvers.
Method used
A method utilizing a Kalman filter in modified spherical coordinates with interval analysis and differential constraints to detect changes in an object's movement, employing a processor to apply constraints on estimated state vectors to determine the actual movement.
Benefits of technology
Effectively detects deviations from assumed uniform linear motion by reducing uncertainty intervals, allowing accurate characterization of the object's movement, particularly during maneuvers.
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Smart Images
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Abstract
The present invention relates to a method for characterizing the movement of an object comprising the steps of:- obtaining measurements of two angular orientations of the object relative to a sensor,- applying an estimator to each pair of measured orientations, the estimator assuming a movement for the object, to obtain estimated state vectors- determining a respective set of possible values for the coordinates of each state vector by applying a constraint on the estimated state vectors, a constraint being a constraint according to which the movement of the object is the movement assumed by the estimator, and- detecting the nature of the movement of the object, the detected movement being the assumed movement when each estimated state vector belongs to the determined set for the considered estimated state vector, the detected movement being different from the assumed movement otherwise.
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