An intended motion estimation method based on unmanned aerial vehicle aviation video image

Hongying Zhao; Tong Lu

doi:10.1117/12.836687

6 August 2009 An intended motion estimation method based on unmanned aerial vehicle aviation video image

Hongying Zhao, Tong Lu

Proceedings Volume 7384, International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Imaging Detectors and Applications; 73842Y (2009) https://doi.org/10.1117/12.836687
Event: International Symposium on Photoelectronic Detection and Imaging 2009, 2009, Beijing, China

Abstract

In the process of the UAV aviation video image stabilization, whether the image sequence interval used to estimate the intended motion is appropriate will have effect on the stabilization quality, either too stable or unstable. To solve this problem, a method of intended motion estimation using the UAV's flight parameters as auxiliary data is proposed in this paper, which also helps to realize real-time image stabilization. UAV always has real-time access to UAV position, flight attitude, velocity and other flight parameters. In this paper we analyze the relationship between these parameters with the flight pattern as a basis of the change in intended motion to achieve an effective judge of the estimation sequence, thus obtain accurate parameters of the intended motion. The method has been demonstrated through a series of experiments on real aviation video data.

Citation Download Citation

Hongying Zhao and Tong Lu "An intended motion estimation method based on unmanned aerial vehicle aviation video image", Proc. SPIE 7384, International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Imaging Detectors and Applications, 73842Y (6 August 2009); https://doi.org/10.1117/12.836687

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