Obstacle detection algorithms for aviation

Li Fu, Songtao Lu

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

8 Scopus citations

Abstract

Wires can be hard to see for pilots and thus present a serious hazard to low-flying aerial vehicles. An airborne vision system having ability to detect wires in time to avoid accident collisions is needed. However, for an automatic vision-based wire detector, extracting wires from a cluttered background is the most important and challenging tasks. In this paper, we propose a novel wire detection algorithm based on real outdoor images for aviation. This detection process combines the morphological properties of the wire and the common line segment detector in image processing. We first generate a line pool using a fast line segment detector to mark all the lines in image. Then wires detector is applied according to our designed properties of wires. The experimental results demonstrate that the approach is effective for automatic wire detection.

Original languageEnglish (US)
Title of host publicationProceedings - 2011 IEEE International Conference on Computer Science and Automation Engineering, CSAE 2011
Pages710-714
Number of pages5
DOIs
StatePublished - Aug 25 2011
Event2011 IEEE International Conference on Computer Science and Automation Engineering, CSAE 2011 - Shanghai, China
Duration: Jun 10 2011Jun 12 2011

Publication series

NameProceedings - 2011 IEEE International Conference on Computer Science and Automation Engineering, CSAE 2011
Volume4

Other

Other2011 IEEE International Conference on Computer Science and Automation Engineering, CSAE 2011
CountryChina
CityShanghai
Period6/10/116/12/11

Keywords

  • Obstacle detection
  • line detector
  • morphological properties

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