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Visual space navigation system for CubeSat using deep convolutional neural networks
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering. Aalto University.
2018 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Place, publisher, year, edition, pages
2018.
National Category
Robotics
Identifiers
URN: urn:nbn:se:ltu:diva-71850OAI: oai:DiVA.org:ltu-71850DiVA, id: diva2:1267294
Subject / course
Student thesis, at least 30 credits
Educational program
Space Engineering, master's level (120 credits)
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Available from: 2018-12-07 Created: 2018-12-01 Last updated: 2018-12-07Bibliographically approved

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CiteExportLink to record
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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf