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SPARTAN project: Efficient implementation of computer vision algorithms onto reconfigurable platform targeting to space applications
Production and Management Engineering Dept., Democritus University of Thrace, Greece.
Production and Management Engineering Dept., Democritus University of Thrace, Greece.
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2011 (English)In: 6th International Workshop on Reconfigurable Communication-Centric Systems-on-Chip, ReCoSoC 2011 - Proceedings, 2011Conference paper, Published paper (Refereed)
Abstract [en]

Vision-based robotic applications exhibit increased computational complexity. This problem becomes even more important regarding mission critical application domains. The SPARTAN project focuses in the tight and optimal implementation of computer vision algorithms targeting to rover navigation for space applications. For evaluation purposes, these algorithms will be implemented with a co-design methodology onto a Virtex-6 FPGA device.

Place, publisher, year, edition, pages
2011.
Keyword [en]
Computer Vision Algorithms, FPGA implementation, High-Performance, Low-power, Space Application, Co-design methodology, Efficient implementation, FPGA devices, Low Power, Mission critical applications, Reconfigurable plat-forms, Robotic applications, Vision based, Algorithms, Computational complexity, Computational efficiency, Field programmable gate arrays (FPGA), Space applications, Computer vision
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:kth:diva-50985DOI: 10.1109/ReCoSoC.2011.5981524Scopus ID: 2-s2.0-80052583354ISBN: 9781457706424 (print)OAI: oai:DiVA.org:kth-50985DiVA: diva2:463186
Conference
6th International Workshop on Reconfigurable Communication-Centric Systems-on-Chip, ReCoSoC 2011. Montpellier. 20 June 2011 - 22 June 2011
Projects
Sparing Robotics Technologies for Autonomous Navigation (SPARTAN), ESA/ESTEC
Note
QC 20111209Available from: 2011-12-08 Created: 2011-12-08 Last updated: 2011-12-09Bibliographically approved

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Nalpantidis, Lazaros
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Total: 21 hits
CiteExportLink to record
Permanent link

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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
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