1、Metrics,Schmetrics!How The Heck Do You Determine A UAVs Autonomy Anyway?Bruce T.Clough,Technical Area Leader,Air Force Research Laboratory Wright-Patterson AFB,OH,Bruce.Cloughwpafb.af.mil ABSTRACT So,they had to be simple,apply to a broad range of systems,and yet exhibit good resolution.Obviously a
2、simple task,but first lets look at what it means to be autonomous.The recently released DoD Unmanned Aerial Vehicles Roadmap 9 discusses advancements in UAV autonomy in terms of autonomous control levels(ACL).The ACL concept was pioneered by researchers in the Air Force Research Laboratorys Air Vehi
3、cles Directorate who are charged with developing autonomous air vehicles.In the process of developing intelligent autonomous agents for UAV control systems we were constantly challenged to“tell us how autonomous a UAV is,and how do you think it can be measured”Usually we hand-waved away the argument
4、 and hoped the questioner will go away since this is a very subjective,and complicated,subject,but within the last year weve been directed to develop national intelligent autonomous UAV control metrics-an IQ test for the flyborgs,if you will.The ACL chart is the result.Weve done this via intense dis