Automatic Quadcopter Control Avoiding Obstacle Using Camera with Integrated Ultrasonic Sensor

Hanafi Anis, Ahmad Haris Indra Fadhillah, Surya Darma, Santoso

Research output: Contribution to journalConference articlepeer-review

3 Citations (Scopus)

Abstract

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.

Original languageEnglish
Article number012046
JournalJournal of Physics: Conference Series
Volume1011
Issue number1
DOIs
Publication statusPublished - 9 May 2018
Event2017 International Conference on Theoretical and Applied Physics, ICTAP 2017 - Yogyakarta, Indonesia
Duration: 6 Sep 20178 Sep 2017

Fingerprint Dive into the research topics of 'Automatic Quadcopter Control Avoiding Obstacle Using Camera with Integrated Ultrasonic Sensor'. Together they form a unique fingerprint.

Cite this