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dc.contributor.authorLudwig, Julian
dc.date.accessioned2021-05-28T02:11:39Z
dc.date.available2021-05-28T02:11:39Z
dc.date.issued2021
dc.date.submitted2021-05-27T09:28:26Z
dc.identifierONIX_20210527_9783731510697_29
dc.identifier2511-6312
dc.identifierhttps://library.oapen.org/handle/20.500.12657/48832
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/70112
dc.description.abstractThis work proposes a concept based on haptic-shared control to assist humans in taking over a task from an automation, such as at the end of highly automated driving. The description of the interaction by time-variant differential games allows a model-based controller design as well as the estimation of the human's current readiness to take over. Several experiments demonstrate more performant and safe transitions with the new approach.
dc.languageGerman
dc.relation.ispartofseriesKarlsruher Beiträge zur Regelungs- und Steuerungstechnik
dc.rightsopen access
dc.subject.classificationbic Book Industry Communication::T Technology, engineering, agriculture::TH Energy technology & engineering::THR Electrical engineering
dc.subject.otherMensch-Maschine-Interaktion
dc.subject.otherHaptic-Shared-Control
dc.subject.otherDifferentialspiele
dc.subject.otherÜbernahmebereitschaft
dc.subject.otherSAE Level 3
dc.subject.otherhuman-machine-interaction
dc.subject.otherhaptic-shared-control
dc.subject.otherdifferential games
dc.subject.otherreadiness to takeover
dc.subject.otherSAE level 3
dc.subject.otherthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering
dc.titleAutomatisierte kooperative Transition einer Regelungsaufgabe zwischen Mensch und Maschine am Beispiel des hochautomatisierten Fahrens
dc.typebook
oapen.identifier.doi10.5445/KSP/1000125864
oapen.relation.isPublishedBy68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2
oapen.relation.isbn9783731510697
oapen.pages182
oapen.place.publicationKarlsruhe
dc.seriesnumber9
dc.abstractotherlanguageThis work proposes a concept based on haptic-shared control to assist humans in taking over a task from an automation, such as at the end of highly automated driving. The description of the interaction by time-variant differential games allows a model-based controller design as well as the estimation of the human's current readiness to take over. Several experiments demonstrate more performant and safe transitions with the new approach.


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