Collision avoidance for UAV using visual detection

Tamás Zsedrovits, Ákos Zarándy, Bálint Vanek, Tamás Péni, József Bokor, Tamás Roska

Research output: Chapter in Book/Report/Conference proceedingConference contribution

28 Citations (Scopus)

Abstract

Unmanned Arial Vehicles (UAVs) require the development of some on-board safety equipments before inheriting the sky. An on-board collision avoidance system is being built by our team. Due to the strict size, weight, power, and costs constraints, visual intruder airplane detection is the only option. This paper introduces our visual airplane detector algorithm, which is designed to be operational in clear and in cloudy situations under regular daylight visual conditions. To be able to implement the algorithm on-board, we have carefully selected topographic operators, which can be efficiently solved on cellular processor arrays.

Original languageEnglish
Title of host publication2011 IEEE International Symposium of Circuits and Systems, ISCAS 2011
Pages2173-2176
Number of pages4
DOIs
Publication statusPublished - Aug 2 2011
Event2011 IEEE International Symposium of Circuits and Systems, ISCAS 2011 - Rio de Janeiro, Brazil
Duration: May 15 2011May 18 2011

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
ISSN (Print)0271-4310

Other

Other2011 IEEE International Symposium of Circuits and Systems, ISCAS 2011
CountryBrazil
CityRio de Janeiro
Period5/15/115/18/11

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Keywords

  • UAV
  • aircraft detection and tracking
  • cellular processor arrays
  • image processing
  • topographic operators
  • vision-based control

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Zsedrovits, T., Zarándy, Á., Vanek, B., Péni, T., Bokor, J., & Roska, T. (2011). Collision avoidance for UAV using visual detection. In 2011 IEEE International Symposium of Circuits and Systems, ISCAS 2011 (pp. 2173-2176). [5938030] (Proceedings - IEEE International Symposium on Circuits and Systems). https://doi.org/10.1109/ISCAS.2011.5938030