Automatic Quadcopter Control Avoiding Obstacle Using Camera with Integrated Ultrasonic Sensor

Automatic navigation on the drone is being developed these days, a wide variety of types of drones and its automatic functions. Drones used in this study was an aircraft with four propellers or quadcopter. In this experiment, image processing used to recognize the position of an object and ultrasoni...

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Bibliographic Details
Published in:Journal of physics. Conference series 2018-04, Vol.1011 (1), p.12046
Main Authors: Anis, Hanafi, Fadhillah, Ahmad Haris Indra, Darma, Surya, Soekirno, Santoso
Format: Article
Language:English
Subjects:
Automatic control
Cameras
Decisions
Drone aircraft
Drones
Feedback control
Image processing
Obstacle avoidance
Physics
Position sensing
Propellers
Proportional integral derivative
Sensors
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Summary:Automatic navigation on the drone is being developed these days, a wide variety of types of drones and its automatic functions. Drones used in this study was an aircraft with four propellers or quadcopter. In this experiment, image processing used to recognize the position of an object and ultrasonic sensor used to detect obstacle distance. The method used to trace an obsctacle in image processing was the Lucas-Kanade-Tomasi Tracker, which had been widely used due to its high accuracy. Ultrasonic sensor used to complement the image processing success rate to be fully detected object. The obstacle avoidance system was to observe at the program decisions from some obstacle conditions read by the camera and ultrasonic sensors. Visual feedback control based PID controllers are used as a control of drones movement. The conclusion of the obstacle avoidance system was to observe at the program decisions from some obstacle conditions read by the camera and ultrasonic sensors.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1011/1/012046