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LUCID demonstrator: Active RFID navigation
LUCID demonstrator: Active RFID navigation
LUCID demonstrator: Active RFID navigation
LUCID demonstrator: Active RFID navigation
LUCID demonstrator: Active RFID navigation
LUCID demonstrator: Active RFID navigation
LUCID demonstrator: Active RFID navigation
LUCID demonstrator: Active RFID navigation
LUCID demonstrator: Active RFID navigation
LUCID demonstrator: Active RFID navigation
LUCID demonstrator: Active RFID navigation
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LUCID demonstrator: Active RFID navigation

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An exploration into the use of Active RFID tags for navigation

An exploration into the use of Active RFID tags for navigation

Published in: Technology, Business
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Transcript

  • 1. A knowledge-sharing event investigating current opportunities and the future of context-aware information delivery on mobile devices. Active-RFID Navigation
  • 2. AIMS
    • Explore the potential for using active RFID tags as navigation beacons
    • Mark-up of indoor & outdoor spaces
    • Help mobile users to discover “services”
    • Assist with navigation in unknown spaces
  • 3. Approach
    • Use Active Wavetrend RFID tags as beacons
    • 433 MHz, unique ID and Site Code
    • Measure received signal-strength (RSSI)
    • Fixed tags, mobile RFID reader
    • RSSI v. range, repeatability, variability, ageing?
    • Inverse look-up for position estimation?
  • 4. Tag-A Tag-B Tag-C Tag-D RSSI-C RSSI-A RSSI-D RSSI-B RSSI-C RSSI-D RSSI-B RSSI-A
  • 5. Demonstrator Overview
    • measure tag signal strength at set distances from reader
    • analyse suitability for reverse lookup (repeatability)
    • mapping of spaces (RSSI curves different)
    • reverse lookup algorithms
  • 6. Example Data: RSSI v. Range
  • 7. Example Data: Repeatability
  • 8. Example Data: Variability
  • 9. Issues
    • readers and tags directionality
    • non-monotonicity of RSSI v. range
    • older tags less reliable
    • impact of environment - clutter
  • 10. Preliminary Conclusions
    • the data implies location estimation is possible … but will be a challenge
    • mapping of RSSIs in space will be required
    • further work on location algorithms required
    • complex mappings required
    • probabilistic location algorithms
  • 11. Next Steps
    • multiple readers
    • map RSSI in space (contour maps)
    • Environmental factors
    • use position estimate to trigger content delivery e.g. audio
    • location algorithms based on probability

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