Precision Landing with computer vision

Name: Chinnapat Thipyopas

Organization : Kasetsart University. Faculty of Engineering

Name: Wisarut Leelawutprasert

Organization : Kasetsart University. Faculty of Engineering

Name: Noppanut Thongton

Organization : Kasetsart University. Faculty of Engineering

Name: Woranop Laitrakun

Organization : Kasetsart University. Faculty of Engineering

Name: Kittipon Faidetch

Organization : Kasetsart University. Faculty of Engineering

Name: Ekarat Sathitwattanasan

Organization : Kasetsart University. Faculty of Engineering

Email : fengcpt@ku.ac.th

keyword: AprilTags

LCSH: Drone aircraft

LCSH: Computer vision

Abstract: Unmanned aerial vehicles (UAVs) are used in various fields, and the most important aspect of UAVs' automatic operation is landing. Currently, most UAVs use only data or signals received from satellites for automatic landing. However, using satellite data can be quite inaccurate, especially if the UAV is landing in an area where satellite signals are unstable. Therefore, most users of UAVs prefer to use the infrared light landing method, which involves using a camera with a lens that can detect infrared light on the UAV and a device that emits infrared light placed at the landing pad. This method provides less error than using satellite data, but the equipment is relatively expensive and has other limitations such as light. In this research, we chose to use computer vision for automatic landing. This involves placing a camera on the UAV and placing 6 AprilTags on the landing pad. This allows the UAV to land accurately even if not all AprilTags are visible. Through testing, this method resulted in an average error of only 0.1175 meters when all AprilTags were visible

King Mongkut's University of Technology North Bangkok. Central Library

Address: BANGKOK

Email: library@kmutnb.ac.th

Created: 2024

Modified: 2024-12-13

Issued: 2024-12-13

บทความ/Article

application/pdf

BibliograpyCitation : In Thai Society of Mechanical Engineers (TSME) and Chiang Mai University. The 13th TSME International Conference on Mechanical Engineering (TSME-ICoME 2023) (pp.235-240). Chiang Mai : Chiang Mai University, 2023

eng

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