Software imitation for unmanned aerial vehicle landing scenes

Yang Peng; Wang Rui; Zhou Fuqiang; Zhang Guangjun

Volume 31 Issue 06

Jun. 2005

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Abstract

References

Journal of Beijing University of Aeronautics and Astronautics > 2005 > 31(06): 609-613.

Huang Jun, Wu Zhe, Zhu Rongchanget al. Optimized Collocation of Combat Aircraft Weapon Systems for Air Force[J]. Journal of Beijing University of Aeronautics and Astronautics, 1999, 25(5): 546-549. (in Chinese)

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Yang Peng, Wang Rui, Zhou Fuqiang, et al. Software imitation for unmanned aerial vehicle landing scenes[J]. Journal of Beijing University of Aeronautics and Astronautics, 2005, 31(06): 609-613. (in Chinese)

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Software imitation for unmanned aerial vehicle landing scenes

School of Instrument Science and Opto-electronics Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100083, China

Received Date: 19 Feb 2004
Publish Date: 30 Jun 2005

Abstract

Abstract

To offer a cost-effective solution to the research of vision-guide algorithm for UAV(unmanned aerial vehicle) with vertical takeoff and landing capability, the imaging principle and imitation technology of UAV landing scenes based on the theory of machine vision was employed. The pinhole camera model including lens distortion parameters was established. Moreover, a method of adjacent region search was introduced to decrease the singularities in the imitation images caused by the lens distortion. To get more veracious imitation of landing scenes, some main interferential factors of the unmanned vehicle landing, such as the blurring induced by the light amplitude non-uniformity, image motion, as well as the noise from electronic and photometric source, were also considered. The software for real time generation of scene images was developed by C+ +　and windows operating system. The results of simulation including images and data are presented at the end.
- unmanned aerial vehicle,
- machine vision,
- scene imitation,
- camera model

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References(1)

References

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Software imitation for unmanned aerial vehicle landing scenes