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Proceedings Paper

Research on autonomous landing of UAV based on vision sequence image
Author(s): Wenkai Suo; Wengang Hu; Xia Li; Yan Zhang
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Paper Abstract

Through the analysis of the various landing modes of the current UAVs, based on the full use of the passive characteristics of visual information, a full visual information guided landing method based on visual sequence images is proposed, and a new color guiding function is designed. Multi-graphic cooperation goal, using the method of air-ground cooperative visual matching, through the selection of cooperative target and the construction process of coordinate system, the specific calculation process of flight attitude information of UAV is described, and the real-time performance of visual information processing during UAV landing process is guaranteed. Under the premise of accuracy and accuracy, the recognition and processing of cooperation targets are completed by means of grayscale transformation, HSV color transformation and HU constant distance matching. The landing mode study provides a valuable reference for the UAV's full visual autonomous landing.

Paper Details

Date Published: 8 July 2019
PDF: 7 pages
Proc. SPIE 11063, Pacific Rim Laser Damage 2019: Optical Materials for High-Power Lasers, 1106315 (8 July 2019); doi: 10.1117/12.2535760
Show Author Affiliations
Wenkai Suo, Army Engineering Univ. (China)
Western Theater Army Security (China)
Wengang Hu, Army Engineering Univ. (China)
Xia Li, Chinese People's Liberation Army (China)
Yan Zhang, Army Engineering Univ. (China)

Published in SPIE Proceedings Vol. 11063:
Pacific Rim Laser Damage 2019: Optical Materials for High-Power Lasers
Jianda Shao; Takahisa Jitsuno; Wolfgang Rudolph, Editor(s)

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