Research on autonomous landing of UAV based on vision sequence image

Wenkai Suo; Wengang Hu; Xia Li; Yan Zhang

doi:10.1117/12.2535760

8 July 2019 Research on autonomous landing of UAV based on vision sequence image

Wenkai Suo, Wengang Hu, Xia Li, Yan Zhang

Proceedings Volume 11063, Pacific Rim Laser Damage 2019: Optical Materials for High-Power Lasers; 1106315 (2019) https://doi.org/10.1117/12.2535760
Event: Pacific Rim Laser Damage 2019 and Thin Film Physics and Applications 2019, 2019, Qingdao, China

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.

Citation Download Citation

Wenkai Suo, Wengang Hu, Xia Li, and Yan Zhang "Research on autonomous landing of UAV based on vision sequence image", Proc. SPIE 11063, Pacific Rim Laser Damage 2019: Optical Materials for High-Power Lasers, 1106315 (8 July 2019); https://doi.org/10.1117/12.2535760

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available