Development of a Quadrotor with Vision-based Target Detection for Autonomous Landing

Authors

  • Gervin Ernest C. Guevarra Department of Electronics and Communications Engineering, Gokongwei College of Engineering, De La Salle University-Manila, 2401Taft Ave., Malate, Manila 1004, Philippines
  • llen Rafael Tatsuya S. Koizumi Department of Electronics and Communications Engineering, Gokongwei College of Engineering, De La Salle University-Manila, 2401Taft Ave., Malate, Manila 1004, Philippines
  • John Nicholas B. Moreno Department of Electronics and Communications Engineering, Gokongwei College of Engineering, De La Salle University-Manila, 2401Taft Ave., Malate, Manila 1004, Philippines
  • Jeremy Christian B. Reccion Department of Electronics and Communications Engineering, Gokongwei College of Engineering, De La Salle University-Manila, 2401Taft Ave., Malate, Manila 1004, Philippines
  • Carl Michael O. Sy Department of Electronics and Communications Engineering, Gokongwei College of Engineering, De La Salle University-Manila, 2401Taft Ave., Malate, Manila 1004, Philippines
  • Jay Robert B. del Rosario Department of Electronics and Communications Engineering, Gokongwei College of Engineering, De La Salle University-Manila, 2401Taft Ave., Malate, Manila 1004, Philippines

Keywords:

Automatic Landing, Quadcopter, Target Detection, Vision-Based,

Abstract

In the field of robotics, the quadrotors have rapidly gained interest and have made several breakthroughs involving it, which range from variable pitch to application of swarm robotics. With that said, this paper aims to also expand upon one of the current developments which is the automated landing of quadrotors on a designated landing zone. Without GPS, the prototype built in this research employs image processing techniques to detect the landing zone, as well as to determine the flight altitude. Using these information, the quadrotor is autonomously controlled via its control surfaces (throttle, roll and pitch) in order to perform the landing procedure. Additionally, the quadrotor is capable of tracking a moving target and safely land even with winds reaching up to 2.2m/s.

Downloads

Download data is not yet available.

Downloads

Published

2018-02-05

How to Cite

Guevarra, G. E. C., Koizumi, llen R. T. S., Moreno, J. N. B., Reccion, J. C. B., Sy, C. M. O., & del Rosario, J. R. B. (2018). Development of a Quadrotor with Vision-based Target Detection for Autonomous Landing. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 10(1-6), 41–45. Retrieved from https://jtec.utem.edu.my/jtec/article/view/3665

Issue

Vol. 10 No. 1-6: Breakthrough To Excellence in Communication and Computer Engineering III

Section

Articles

License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)