The present invention relates to pose estimation of aircraft, in particular to pose estimation of aircraft using machine learning. According to an aspect of the present invention, there is provided a computer-implemented method for performing pose estimation of aircraft comprising obtaining an input image and using a machine-learning aircraft pose estimation model to obtain one or more aircraft parameters associated with one or more aircraft in the input image. The invention may also include applying a shape recognition algorithm to determine one or more regions of interest, ROIs, in the initial image and extracting part of the initial image containing one or more of said ROIS as the input image to be classified by the machine learning aircraft pose estimation model. The machine-learning aircraft pose estimation model may be configured to detect one or more visual cues associated with heavy manoeuvring by one of said one or more aircraft and to output an indication of whether any such visual cues were detected, wherein heavy manoeuvring involves a change in velocity and/or direction of travel that exceeds a threshold and may display said heavy manoeuvring on a screen.
Pose estimation or aircraft
2023-08-16
Patent
Electronic Resource
English
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