HEIFU - Hexa Exterior Intelligent Flying Unit

Dário Pedro, Pedro Lousã, Álvaro Ramos, J. P. Matos-Carvalho, Fábio Azevedo, Luís Campos

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

1 Citation (Scopus)

Abstract

The number of applications for which UAVs can be used is growing rapidly, either because they can perform more efficiently than traditional methods or because they can be a good alternative when there are risks involved. Indeed, as a result of some incidents that could have resulted in disastrous accidents, the European Union is tightening regulations regarding the use of drones and requiring formal training as well as logged missions from those who want to use UAVs above a certain MTOW for whatever reason, whether domestic or professional. If the application requires BVLOS flights, the limitations become much more stringent. In this article HEIFU is presented, a class 3 hexacopter UAV that can carry up to an 8 kg payload (having a MTOW of 15 kg) and a wingspan of 1.5 m, targeting applications that could profit much from having fully automated missions. Inside, an AI engine was installed so that the UAV could be trained to fly, following a pre-determined mission, but also detect obstacles in real-time so that it can accomplish its task without incidents. A sample use case of HEIFU is also presented, facilitating the temporal replication of an autonomous mission for an agricultural application.

Original languageEnglish
Title of host publicationComputer Safety, Reliability, and Security. SAFECOMP 2021 Workshops - DECSoS, MAPSOD, DepDevOps, USDAI, and WAISE, Proceedings
EditorsIbrahim Habli, Mark Sujan, Simos Gerasimou, Erwin Schoitsch, Friedemann Bitsch
PublisherSpringer Science and Business Media Deutschland GmbH
Pages89-104
Number of pages16
ISBN (Print)9783030839055
DOIs
Publication statusPublished - 2021
Event40th International Conference on Computer Safety, Reliability and Security, SAFECOMP 2021 held in conjunction with Workshops on DECSoS, MAPSOD, DepDevOps, USDAI and WAISE 2021 - Virtual, Online
Duration: 7 Sep 202110 Sep 2021

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12853 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference40th International Conference on Computer Safety, Reliability and Security, SAFECOMP 2021 held in conjunction with Workshops on DECSoS, MAPSOD, DepDevOps, USDAI and WAISE 2021
CityVirtual, Online
Period7/09/2110/09/21

Keywords

  • Artificial Intelligence
  • Collision avoidance
  • Deep learning
  • Drones
  • HEIFU
  • Resilience
  • UAV

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