AirCapRL: Autonomous Aerial Human Motion Capture Using Deep Reinforcement Learning

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dc.contributor.author Tallamraju, Rahul
dc.contributor.author Saini, Nitin
dc.contributor.author Bonetto, Elia
dc.contributor.author Pabst, Michael
dc.contributor.author Liu, Yu Tang
dc.contributor.author Black, Michael J.
dc.contributor.author Ahmad, Aamir
dc.date.accessioned 2021-02-02T06:00:05Z
dc.date.available 2021-02-02T06:00:05Z
dc.date.issued 2020
dc.identifier.issn 2377-3766
dc.identifier.uri http://hdl.handle.net/10900/112274
dc.language.iso en de_DE
dc.publisher IEEE - Inst Electrical Electronics Engineers Inc de_DE
dc.relation.uri http://dx.doi.org/10.1109/LRA.2020.3013906 de_DE
dc.subject.ddc 600 de_DE
dc.title AirCapRL: Autonomous Aerial Human Motion Capture Using Deep Reinforcement Learning de_DE
dc.type Artikel de_DE
utue.quellen.id 20200929220116_00021
utue.publikation.seiten 6678-6685 de_DE
utue.personen.roh Tallamraju, Rahul
utue.personen.roh Saini, Nitin
utue.personen.roh Bonetto, Elia
utue.personen.roh Pabst, Michael
utue.personen.roh Liu, Yu Tang
utue.personen.roh Black, Michael J.
utue.personen.roh Ahmad, Aamir
dcterms.isPartOf.ZSTitelID IEEE Robotics and Automation Letters de_DE
dcterms.isPartOf.ZS-Issue 4 de_DE
dcterms.isPartOf.ZS-Volume 5 de_DE


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