Detection of airborne collision-course targets for sense and avoid on unmanned aircraft systems using machine vision techniques

From National Research Council Canada

DOIResolve DOI: http://doi.org/10.1142/S2301385016500102
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Name affiliation
  1. National Research Council Canada. Aerospace
  2. National Research Council Canada. Information and Communication Technologies
TypeArticle
Journal titleUnmanned Systems
ISSN2301-3850
2301-3869
Pages118
Subjectdetect and avoid; unmanned aircraft system; collision avoidance; machine vision; feature detector; visual cue
Abstract
Publication date
PublisherWorld Scientific Publishing
LanguageEnglish
Peer reviewedYes
NPARC number23000973
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Record identifier8c70b11b-6fe6-43a4-9a54-16a2a5f13159
Record created2016-11-23
Record modified2016-11-23
Date modified: