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Dynamic Target Tracking and Obstacle Avoidance using a Drone

  • Alexander C. Woods
  • Hung M. La
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9474)

Abstract

This paper focuses on tracking dynamic targets using a low cost, commercially available drone. The approach presented utilizes a computationally simple potential field controller expanded to operate not only on relative positions, but also relative velocities. A brief background on potential field methods is given, and the design and implementation of the proposed controller is presented. Experimental results using an external motion capture system for localization demonstrate the ability of the drone to track a dynamic target in real time as well as avoid obstacles in its way.

Keywords

Target Location Potential Field Obstacle Avoidance Attractive Potential Dynamic Target 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgements

The authors would like to specially thank the Motion Analysis Corporation for their support of the Motion Tracking System (MTS) setup at the Advanced Robotics and Automation (ARA) Lab at the University of Nevada, Reno. This project is partially supported by University of Nevada, Reno and NSF-NRI grant number 1426828.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Advanced Robotics and Automation Laboratory, Department of Computer Science and EngineeringUniversity of NevadaRenoUSA

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