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: https://doi.org/10.1142/S2301385016500102
AuthorSearch for: 1; Search for: 2; Search for: 2; Search for: 2; Search for: 1
Affiliation
  1. National Research Council of Canada. Aerospace
  2. National Research Council of Canada. Information and Communication Technologies
FormatText, Article
Subjectdetect and avoid; unmanned aircraft system; collision avoidance; machine vision; feature detector; visual cue
Abstract
Publication date
PublisherWorld Scientific Publishing
In
LanguageEnglish
Peer reviewedYes
NPARC number23000973
Export citationExport as RIS
Report a correctionReport a correction (opens in a new tab)
Record identifier8c70b11b-6fe6-43a4-9a54-16a2a5f13159
Record created2016-11-23
Record modified2020-03-16
Date modified: