Design and Implementation of a Fully Autonomous UAV's Navigator Based on Omni-directional Vision System

Authors

  • Seyed Mohammadreza Kasaei Department of Computer Engineering, University of Isfahan, Isfahan
  • Kamal Jamshidi Department of Computer Engineering, University of Isfahan, Faculty of Engineering, Isfahan
  • Seyed Amir Monajemi Department of Computer Engineering, University of Isfahan, Faculty of Engineering, Isfahan, 81746, Iran

Keywords:

UAV, micro helicopter, omni directional vision, path planning, visual servoing

Abstract

Unmanned Aerial Vehicles (UAVs) are the subject of an increasing interest in many applications . UAVs are seeing more widespread use in military, scenic, and civilian sectors in recent years. Autonomy is one of the major advantages of these vehicles. It is then necessary to develop particular sensor in order to provide efficient navigation functions. The helicopter has been stabilized with visual information through the control loop. Omni directional vision can be a useful sensor for this propose. It can be used as the only sensor or as complementary sensor. In this paper , we propose a novel method for path planning on an UAV based on electrical potential .We are using an omni directional vision system for navigating and path planning.

Author Biographies

Seyed Mohammadreza Kasaei, Department of Computer Engineering, University of Isfahan, Isfahan

Department of Computer Engineering, University of Isfahan, Isfahan, 81746, Iran Mrezamk2005@yahoo.com

Kamal Jamshidi, Department of Computer Engineering, University of Isfahan, Faculty of Engineering, Isfahan

Department of Computer Engineering, University of Isfahan, Faculty of Engineering, Isfahan, 81746, Iran Jamshidi@ui.ac.ir

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How to Cite

Kasaei, S. M., Jamshidi, K., & Monajemi, S. A. (2011). Design and Implementation of a Fully Autonomous UAV’s Navigator Based on Omni-directional Vision System. BRAIN. Broad Research in Artificial Intelligence and Neuroscience, 2(4), pp. 5-13. Retrieved from https://lumenpublishing.com/journals/index.php/brain/article/view/1890

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