International Symposium on Visual Computing

Advances in Visual Computing pp 857-866

Dynamic Target Tracking and Obstacle Avoidance using a Drone

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9474)


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.

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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