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A five-camera vision system for UAV visual attitude calculation and collision warning

Published: 16 July 2013 Publication History

Abstract

A five-camera vision system was developed for UAV visual attitude calculation and collision warning. The vision system acquires images by using five miniature cameras, stores, and evaluates the visual data real-time with a multi-core processor system implemented in FPGA. The system was designed to be able to operate on a medium sized UAV platform, which raised numerous strict physical constraints.

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Cited By

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  • (2019)Three Dimensional Intruder Closest Point of Approach Estimation Based-on Monocular Image Parameters in Aircraft Sense and AvoidJournal of Intelligent and Robotic Systems10.1007/s10846-018-0816-693:1-2(261-276)Online publication date: 1-Feb-2019
  • (2016)Performance Analysis of Camera Rotation Estimation Algorithms in Multi-Sensor Fusion for Unmanned Aircraft Attitude EstimationJournal of Intelligent and Robotic Systems10.1007/s10846-016-0346-z84:1-4(759-777)Online publication date: 1-Dec-2016

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Published In

cover image Guide Proceedings
ICVS'13: Proceedings of the 9th international conference on Computer Vision Systems
July 2013
365 pages
ISBN:9783642394010
  • Editors:
  • Mei Chen,
  • Bastian Leibe,
  • Bernd Neumann

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 16 July 2013

Author Tags

  1. FPGA
  2. UAV
  3. collision warning
  4. image processing
  5. low power
  6. multi-camera
  7. multi-core processing
  8. vision system
  9. visual navigation

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Cited By

View all
  • (2019)Three Dimensional Intruder Closest Point of Approach Estimation Based-on Monocular Image Parameters in Aircraft Sense and AvoidJournal of Intelligent and Robotic Systems10.1007/s10846-018-0816-693:1-2(261-276)Online publication date: 1-Feb-2019
  • (2016)Performance Analysis of Camera Rotation Estimation Algorithms in Multi-Sensor Fusion for Unmanned Aircraft Attitude EstimationJournal of Intelligent and Robotic Systems10.1007/s10846-016-0346-z84:1-4(759-777)Online publication date: 1-Dec-2016

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