Vision-based auto landing of a UAV

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SHOARAN MARYAM; Fattahi Sani Mohammad

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Paper Information

Journal: AEROSPACE KNOWLEDGE AND TECHNOLOGY JOURNAL Year:2020 | Volume:8 | Issue:2 Page(s): 77-90

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Information Journal Paper

Title

Vision-based auto landing of a UAV

Author(s)

SHOARAN MARYAM | Fattahi Sani Mohammad | Issue Writer Certificate

Keywords

unmanned aerial vehicleQ1

quadrotorQ1

automatic landingQ1

pose estimationQ1

Machine visionQ1

Abstract

unmanned aerial vehicles (UAVs) have recently become very useful in human's life. Unsuccessful landings or the danger of collision in landing is one of the problems of quadrotor UAVs. The goal of this paper is to present a precise and continues pose estimation method using monocular Machine vision for a quadrotor to automatically land on a predefined place. For an accurate landing and to reduce the effects of existing delays in the drone's motion we propose an algorithm called "time slicing method", which divides the drone's moves close to the marker into smaller intervals called "movement" and "waiting". The time and the speed of the movements are proportional to the distance of the drone from the marker. The processing is parallel and of a minimum delay. Experimental results verify the success of our method and show that the drone can successfully land on the marker with an error of less than 3cm and in a time less than 15 seconds.

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APA: Copy

SHOARAN, MARYAM, & Fattahi Sani, Mohammad. (2020). Vision-based auto landing of a UAV. AEROSPACE KNOWLEDGE AND TECHNOLOGY JOURNAL, 8(2 ), 77-90. SID. https://sid.ir/paper/264161/en

Vancouver: Copy

SHOARAN MARYAM, Fattahi Sani Mohammad. Vision-based auto landing of a UAV. AEROSPACE KNOWLEDGE AND TECHNOLOGY JOURNAL[Internet]. 2020;8(2 ):77-90. Available from: https://sid.ir/paper/264161/en

IEEE: Copy

MARYAM SHOARAN, and Mohammad Fattahi Sani, “Vision-based auto landing of a UAV,” AEROSPACE KNOWLEDGE AND TECHNOLOGY JOURNAL, vol. 8, no. 2 , pp. 77–90, 2020, [Online]. Available: https://sid.ir/paper/264161/en

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