Method and system for monitoring speed of unmanned plane

Abstract

The invention provides a method and system for monitoring the speed of an unmanned plane, and the method comprises the steps: obtaining the current flight altitude and angular velocity and an image; obtaining feature points of the image, and calculating the optical flow of each feature point; carrying out the counting of the optical flows of all feature points, and selecting the optical flow with the maximum optical flow repetitive rate in the same direction as the optical flow of the image; and calculating the current flight velocity according to the current flight altitude and angular velocity and the optical flow of the image. The invention also relates to a system corresponding to the above method. The method obtains the feature points of the current image through calculation, calculates the optical flows of all feature points, and selects the optical flow with the maximum optical flow repetitive rate in the same direction as the optical flow of the image. Afterwards, the method carries out the calculation of the current flight velocity according to the optical flow of the image and the current flight altitude and angular velocity. The method is simple in calculation, is small in calculation burden, gives consideration to the influence of a plurality of factors, and is precise in calculation result.

Description

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AI Technical Summary

Benefits of technology

This patented technology allows for precise measurement of flying objects' movements over time without relying solely upon visual observation or measuring physical properties such as pressure waves caused when an object passes near another body during flight. It uses images captured at different times together to determine how fast they move around within space. By analyzing these measurements it provides valuable insights into their movement patterns and impacts on various systems like pilots vehicles (such as airplanes).

Problems solved by technology

This patented technology describes how it uses cameras or other sensors to monitor flying drones' movements during autonomous navigation (autonomic control). However, current methods require complex calculations that are time-consuming when compared against real world performance capabilities such as verticality over distance.

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