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dc.contributor.authorJauch, Jens
dc.date.accessioned2024-03-11T10:40:10Z
dc.date.available2024-03-11T10:40:10Z
dc.date.issued2024
dc.identifier.urihttps://library.oapen.org/handle/20.500.12657/88261
dc.description.abstractThis work describes a method for weighted least squares approximation of an unbounded number of data points using a B-spline function. The method can shift the bounded B-spline function definition range during run-time. The approximation method is used for optimizing velocity trajectories for an electric vehicle with respect to travel time, comfort and energy consumption. The trajectory optimization method is extended to a driver assistance system for automated vehicle longitudinal control.en_US
dc.languageEnglishen_US
dc.relation.ispartofseriesKarlsruher Schriftenreihe Fahrzeugsystemtechniken_US
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TG Mechanical engineering and materialsen_US
dc.subject.othervehicle longitudinal control; Kalman filter; approximation; B-spline; trajectory optimization; Fahrzeuglängsführung; Kalmanfilter; Approximation; B-Spline; Trajektorienoptimierungen_US
dc.titleTrajectory optimization based on recursive B-spline approximation for automated longitudinal control of a battery electric vehicleen_US
dc.typebook
oapen.identifier.doi10.5445/KSP/1000164662en_US
oapen.relation.isPublishedBy44e29711-8d53-496b-85cc-3d10c9469be9en_US
oapen.series.number112en_US
oapen.pages264en_US
peerreview.anonymityAll identities known
peerreview.id51a542ec-eaeb-47c2-861d-6022e981a97a
peerreview.open.reviewNo
peerreview.publish.responsibilityBooks or series editor
peerreview.review.stagePre-publication
peerreview.review.typeFull text
peerreview.reviewer.typeEditorial board member
peerreview.reviewer.typeExternal peer reviewer
peerreview.titleDissertations in Series (Dissertationen in Schriftenreihe)


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