Method and device for tracking and locating target for aircraft

Abstract

The invention provides a method and a device for tracking and locating a target for an aircraft. The method includes the steps: calibrating a first airborne camera and a second airborne camera so as to obtain calibration parameters; appointing characteristic information of the target needing to be tracked and located; correcting a first camera image and a second camera image obtained by the first camera and the second camera according to the calibration parameters; generating an anaglyph with a first camera corrected image as a standard according to the first camera corrected image and a second camera corrected image; tracking the target to obtain a target area where the target is located by referring to the characteristic information and by using the first camera corrected image and the anaglyph; and extracting characteristic points of the target area in the first camera corrected image, matching the characteristic points with the second camera corrected image, and calculating position information of the target according to the successfully matched characteristic points. By means of the method, the target can be tracked better, and the position information of the target can be obtained.

Description

technical field [0001] The invention relates to the fields of computer vision and aircraft target tracking, in particular to a method and device for aircraft target tracking and positioning based on documented binocular vision. Background technique [0002] With the continuous development of microelectronics technology and computer vision technology, target tracking can be realized in real time, especially when the target tracking device is installed on the aircraft, flexible and dynamic tracking of the target can be realized, and it has high application in military and civilian fields. value. [0003] In the target tracking technology of traditional aircraft, active environment perception methods such as laser, radar and ultrasound are usually used. The disadvantage is that the unknown information of the target cannot be obtained directly, and multiple aircraft will interfere with each other when detecting. The concealment in the environment is poor, and the probability of...

AI Technical Summary

Problems solved by technology

Among them, the fusion of binocular vision technology and inertial navigation data for navigation is mainly used in the autonomous control of aircraft, and does not involve the perception of the environment; although autonomous landing and target detection based on binocular vision technology involve the perception of the environment, the targets are often It is an artificial, stationary target, and most of its positioning methods rely on data from other sensors

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