TY - GEN
T1 - HEIFU - Hexa Exterior Intelligent Flying Unit
AU - Pedro, Dário
AU - Lousã, Pedro
AU - Ramos, Álvaro
AU - Matos-Carvalho, J. P.
AU - Azevedo, Fábio
AU - Campos, Luís
N1 - Publisher Copyright:
© 2021, Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - Artificial Intelligence
KW - Collision avoidance
KW - Deep learning
KW - Drones
KW - HEIFU
KW - Resilience
KW - UAV
UR - http://www.scopus.com/inward/record.url?scp=85115147688&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-83906-2_7
DO - 10.1007/978-3-030-83906-2_7
M3 - Conference contribution
AN - SCOPUS:85115147688
SN - 9783030839055
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 89
EP - 104
BT - Computer Safety, Reliability, and Security. SAFECOMP 2021 Workshops - DECSoS, MAPSOD, DepDevOps, USDAI, and WAISE, Proceedings
A2 - Habli, Ibrahim
A2 - Sujan, Mark
A2 - Gerasimou, Simos
A2 - Schoitsch, Erwin
A2 - Bitsch, Friedemann
PB - Springer Science and Business Media Deutschland GmbH
T2 - 40th International Conference on Computer Safety, Reliability and Security, SAFECOMP 2021 held in conjunction with Workshops on DECSoS, MAPSOD, DepDevOps, USDAI and WAISE 2021
Y2 - 7 September 2021 through 10 September 2021
ER -