Management of heterogeneous UAVs through a capability framework of UAV’s functional autonomy


Autoria(s): Chen, Ting (Brendan); Campbell, Duncan A.; Coppin, Gilles; Gonzalez, Felipe
Data(s)

26/03/2013

Resumo

An increased interest in utilising groups of Unmanned Aerial Vehicles (UAVs) with heterogeneous capabilities and autonomy is presenting the challenge to effectively manage such during missions and operations. This has been the focus of research in recent years, moving from a traditional UAV management paradigm of n-to-1 (n operators for one UAV, with n being at least two operators) toward 1-to-n (one operator, multiple UAVs). This paper has expanded on the authors’ previous work on UAV functional capability framework, by incorporating the concept of Functional Level of Autonomy (F-LOA) with two configurations: The lower F-LOA configuration contains sufficient information for the operator to generate solutions and make decisions to address perturbation events. Alternatively, the higher F-LOA configuration presents information reflecting on the F-LOA of the UAV, allowing the operator to interpret solutions and decisions generated autonomously, and decide whether to veto from this decision.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/58670/

Relação

http://eprints.qut.edu.au/58670/1/aiac2013.pdf

http://www.aiac15.com/

Chen, Ting (Brendan), Campbell, Duncan A., Coppin, Gilles, & Gonzalez, Felipe (2013) Management of heterogeneous UAVs through a capability framework of UAV’s functional autonomy. In 15th Australian International Aerospace Congress (AIAC 15), 25-28 February 2013, Melbourne Convention Centre, Melbourne, VIC.

Direitos

Copyright 2012 [please consult the authors]

Fonte

Australian Research Centre for Aerospace Automation; School of Electrical Engineering & Computer Science; Science & Engineering Faculty

Palavras-Chave #Heterogeneous UAVs #Functional Capability Framework #Autonomy Framework #Functional LOA #Level of Detail (LOD) #Information Abstraction (IA)
Tipo

Conference Paper