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Rizqy Ilmi Naufal
Telkom University
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

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Vision-based Autonomous Landing For Quadcopter Drone Using Openmv Rizqy Ilmi Naufal; Nyoman Karna; Soo Young Shin
eProceedings of Engineering Vol 9, No 4 (2022): Agustus 2022
Publisher : eProceedings of Engineering

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Abstract

Abstract—Nowadays, drones have a wider variety of applications. The drones are now used for daily activities that the demand for drones is increase and the shift to a lower price. Then, drones manufactured with poor build quality. Consequently, the drone is now more vulnerable to crashes. The crash on landing is one of the most common errors made by novice users. This research utilizes a vision-based precision landing method for quadcopter drones equipped with low-cost cameras capable of tracking AprilTag. The system deploy the Pixhawk as the flight controller, Mission Planner as the Ground Control Station (GCS) software, the OpenMV H7 camera, telemetry, and a computer. The test results obtained are the outdoor accuracy for 2 m altitude is outdoors 8.94 cm, semi-outdoor 9.1 cm, and indoor 11.7 cm. The average accuracy for 3 m altitude outdoors is 9.35 cm, semi-outdoor 9.45 cm, and indoor 10.8 cm, which indicates the system can perform vision-based autonomous landing for quadcopter. Index Terms—drone, computer vision, openMV, precision landing
Co-Authors Nyoman Bogi Aditya Karna Soo Young Shin