The presented solution could be part of the pilot assistance system and, in the future, the basis of the method for automatic spin recovery. This paper proposes a vision-based method of identification in which of these phases an aircraft is. The proposed approach could be the basis for creating a solution supporting the pilot in the process of aircraft spin recovery and, in the future, the development of an autonomous method.Įach of them requires a different pilot’s action. Qualitative and quantitative assessments were conducted using a multimedia data annotation tool and the Jaccard index, respectively. For the selected conditions, the first flight tests were also performed. To validate the method, experiments on flight simulator videos, recorded at varying altitudes and in different lighting, background, and visibility conditions, were carried out. The decision about the state is made based on a proposed set of rules employing the histogram spread measure. The idea of voting on the temporary location of the rotation axis and dominant displacement direction was used. The proposed solution employs a keypoints displacements analysis in consecutive frames taken from the on-board camera. The correct identification of this state is necessary to make the right decisions during the spin recovery maneuver. This article proposes a vision-based method of determining in which of the three states, defined in the spin recovery process, is an aircraft.
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