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

Michel Barbeau, Joaquin Garcia-Alfaro, Evangelos Kranakis, Fillipe Santos

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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 Advice errors are due to outdated or wrong information associated to the landmarks.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.

Original languageEnglish
Title of host publication2019 IEEE Globecom Workshops, GC Wkshps 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728109602
DOIs
Publication statusPublished - 1 Dec 2019
Event2019 IEEE Globecom Workshops, GC Wkshps 2019 - Waikoloa, United States
Duration: 9 Dec 201913 Dec 2019

Publication series

Name2019 IEEE Globecom Workshops, GC Wkshps 2019 - Proceedings

Conference

Conference2019 IEEE Globecom Workshops, GC Wkshps 2019
Country/TerritoryUnited States
CityWaikoloa
Period9/12/1913/12/19

Fingerprint

Dive into the research topics of 'Quality amplification of error prone navigation for swarms of micro aerial vehicles'. Together they form a unique fingerprint.

Cite this