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Quality amplification of error prone navigation for swarms of micro aerial vehicles

  • Carleton University
  • University of Campinas (UNICAMP)

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2 Citations (Scopus)

Résumé

We present an error tolerant path planning algorithm for Micro Aerial Vehicle (MAV) swarms. It is GPS-free. The MAVs find their way using cameras to identify a series of visual landmarks. The landmarks lead towards the destination. MAVs are unaware of the terrain and landmark locations. Landmarks hold a-priori information whose interpretation is prone to errors. We distinguish two types of errors: recognition and advice. Recognition errors are due to misinterpretation of sensed data or a-priori information, or confusion of objects. Advice errors are due to outdated or wrong information associated to the landmarks. The MAVs cooperate and exchange information wirelessly, to minimize the errors. Consequently, the swarm experiences data quality amplification and error reduction. Quality amplification is related to the number of MAVs. The solution effectively achieves an adaptive error tolerant navigation system.

langue originaleAnglais
titre2019 IEEE Globecom Workshops, GC Wkshps 2019 - Proceedings
EditeurInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronique)9781728109602
Les DOIs
étatPublié - 1 déc. 2019
Evénement2019 IEEE Globecom Workshops, GC Wkshps 2019 - Waikoloa, États-Unis
Durée: 9 déc. 201913 déc. 2019

Série de publications

Nom2019 IEEE Globecom Workshops, GC Wkshps 2019 - Proceedings

Une conférence

Une conférence2019 IEEE Globecom Workshops, GC Wkshps 2019
Pays/TerritoireÉtats-Unis
La villeWaikoloa
période9/12/1913/12/19

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