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Optimale Trajektorienplanung für Automobile

dc.contributor.authorZiegler, Julius*
dc.date.accessioned2021-02-11T21:45:38Z
dc.date.available2021-02-11T21:45:38Z
dc.date.issued2017*
dc.date.submitted2019-07-30 20:02:00*
dc.identifier35089*
dc.identifier.issn16134214*
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/55317
dc.description.abstractThis work describes trajectory planning for autonomous driving. It treats continuous methods, which converge to a local optimum, as well as combinatorial methods, which are globally optimal. It is shown by analysis and experimentally, that both approaches are suitable for autonomous driving, but cover different driving situations.*
dc.languageGerman*
dc.relation.ispartofseriesSchriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie*
dc.subjectT1-995*
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issuesen_US
dc.subject.otherFahrzeugregelung*
dc.subject.otheradvanced driver assistance systems*
dc.subject.othertrajectory planning*
dc.subject.otherrobotics*
dc.subject.otherFahrerassistenzsysteme*
dc.subject.othervehicle control*
dc.subject.otherAutonomes Fahren*
dc.subject.otherTrajektorienplanung*
dc.subject.otherRobotik*
dc.subject.otherautonomous driving*
dc.titleOptimale Trajektorienplanung für Automobile*
dc.typebook
oapen.identifier.doi10.5445/KSP/1000056530*
oapen.relation.isPublishedBy68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2*
oapen.relation.isbn9783731505532*
oapen.pagesIII, 133 p.*
oapen.volume35*
peerreview.review.typeFull text
peerreview.anonymityAll identities known
peerreview.reviewer.typeEditorial board member
peerreview.reviewer.typeExternal peer reviewer
peerreview.review.stagePre-publication
peerreview.open.reviewNo
peerreview.publish.responsibilityBooks or series editor
peerreview.id51a542ec-eaeb-47c2-861d-6022e981a97a
peerreview.titleDissertations in Series (Dissertationen in Schriftenreihe)


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