Real-time electronic image stabilization system for flapping-wing flying robot

By designing a real-time electronic image stabilization system, combining image acquisition, electronic image stabilization, flight attitude monitoring and control systems, the problem of poor image stability of flapping aircraft in complex environments is solved, real-time image stabilization processing and multi-sensor data fusion are realized, and image quality is significantly improved.

CN119729215APending Publication Date: 2025-03-28NANJING UNIV OF SCI & TECH
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Patent Information

Application Number
CN202510232558.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-02-28
Publication Date
2025-03-28

AI Technical Summary

Technical Problem

Existing flapping wing aircraft have poor image stability in complex environments, and cannot cope with the impact of aircraft attitude changes on images in real time, and cannot effectively fuse multi-sensor data for image compensation.

Method used

A real-time electronic image stabilization system for flapping-wing flight robots is designed, including an image acquisition module, an electronic image stabilization module, a flight attitude monitoring module and a control system. By acquiring image data and flight attitude data in real time, using motion estimation and compensation algorithms, combined with multi-sensor data fusion algorithms, the parameters of the image stabilization algorithm are adjusted in real time.

Benefits of technology

Real-time image stabilization processing when the aircraft posture changes is realized, which significantly improves the image clarity and stability, can quickly respond to the dynamic changes of the aircraft, and ensures the stability of image quality in complex environments.

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Abstract

The invention discloses a real-time electronic image stabilization system for a flapping-wing flying robot, which effectively solves the problems of image dithering and blurring of a flapping-wing flying robot in a complex flying environment by combining flying attitude monitoring and a real-time image stabilization algorithm. The system comprises an image acquisition module, an electronic image stabilization module, a flight attitude monitoring module and a control system, the image acquisition module acquires image data in real time, and the electronic image stabilization module performs real-time stabilization processing on an image based on attitude change of an aircraft. The flight attitude monitoring module collects attitude data of the aircraft through a three-axis gyroscope, an accelerometer and a magnetometer, and calculates an accurate flight attitude matrix through a sensor fusion algorithm. The control system dynamically adjusts parameters of the electronic image stabilization module according to the flight attitude data to ensure image stability. Compared with the prior art, the method has high real-time performance and response speed, image stability parameters can be adjusted in real time in the flight process, and the image quality is remarkably improved.
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