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Dietmayer, Klaus [Author]

Messung der translatorischen und rotatorischen Geschwindigkeitskomponenten ebener Bewegungen mit CCD-Bildsensoren

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1994
Dietmayer, Klaus [Other] ; Universität Ulm Abteilung Meß-, Regel- und Mikrotechnik

Navigationsverfahren zur Identifikation von Koronararterien und Stenosen bei herzchirurgischen Operationen : BMBF-Abschlussbericht

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https://edocs.tib.eu/files/e01fb09/611377047.pdf

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Ulm [u.a.], [ca. 2008]
Linnhoff, Clemens [Author] ; Winner, Hermann [Degree supervisor]; Dietmayer, Klaus [Degree supervisor]

Analysis of Environmental Influences for Simulation of Active Perception Sensors

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https://d-nb.info/1279174986/34

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Darmstadt: Universitäts- und Landesbibliothek, 2023
Meyer, Annika [Author] ; Stiller, Christoph [Degree supervisor]; Dietmayer, Klaus [Degree supervisor]

Echtzeitfähige Schätzung generischer Linienzüge für das kartenlose automatisierte Fahren mittels Deep Learning

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https://d-nb.info/1304054454/34

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Karlsruhe: KIT-Bibliothek, 2023
Richter, Sven [Author] ; Stiller, Christoph [Degree supervisor]; Dietmayer, Klaus [Degree supervisor]

Multi-Sensor Environment Perception for Automated Vehicles with Semantic Evidential Grid Maps

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https://d-nb.info/1314120379/34

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Karlsruhe: KIT-Bibliothek, 2023
Rehder, Eike [Author] ; Stiller, Christoph [Degree supervisor]; Dietmayer, Klaus [Degree supervisor]

Probabilistic Goal-Directed Pedestrian Prediction by Means of Artificial Neural Networks

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https://d-nb.info/127482348X/34

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Karlsruhe: KIT-Bibliothek, 2022
Oeljeklaus, Malte [Author] ; Bertram, Torsten [Degree supervisor]; Dietmayer, Klaus [Other]

An integrated approach for traffic scene understanding from monocular cameras : towards resource-constrained perception of environment representations with multi-task convolutional neural networks

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https://d-nb.info/1245617575/34

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Dortmund: Universitätsbibliothek Dortmund, 2021
Schumann, Ole [Author] ; Wöhler, Christian [Degree supervisor]; Dietmayer, Klaus [Other]

Machine learning applied to radar data: classiﬁcation and semantic instance segmentation of moving road users

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https://d-nb.info/1232075221/34

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Dortmund: Universitätsbibliothek Dortmund, 2021
Rodemerk, Claas [Author] ; Winner, Hermann [Degree supervisor]; Dietmayer, Klaus [Degree supervisor]

Potential of Driving Style Adaptation for a Maneuver Prediction System at Urban Intersections

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https://d-nb.info/1140166212/34

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Darmstadt: Universitäts- und Landesbibliothek Darmstadt, 2017
Linnhoff, Clemens [Author] ; Winner, Hermann [Degree supervisor]; Dietmayer, Klaus [Degree supervisor]

Analysis of Environmental Influences for Simulation of Active Perception Sensors

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https://nbn-resolving.org/urn:nbn:de:tuda-tuprints-231169

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Darmstadt: Universitäts- und Landesbibliothek, 2023
Oeljeklaus, Malte [Author] ; Bertram, Torsten [Degree supervisor]; Dietmayer, Klaus [Other]

An integrated approach for traffic scene understanding from monocular cameras : towards resource-constrained perception of environment representations with multi-task convolutional neural networks

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http://hdl.handle.net/2003/40543

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Dortmund: Universitätsbibliothek Dortmund, 2021
Schumann, Ole [Author] ; Wöhler, Christian [Degree supervisor]; Dietmayer, Klaus [Other]

Machine learning applied to radar data: classiﬁcation and semantic instance segmentation of moving road users

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https://hdl.handle.net/2003/40162

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Dortmund: Universitätsbibliothek Dortmund, 2021
Klee, Hannes [Author] ; Dietmayer, Klaus [Contributor]; Tichy, Matthias [Contributor]

Optimierte Softwarekomponentenverteilung in bestehenden vernetzten eingebetteten Systemen

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Universität Ulm, 2019-11-20T09:07:53Z
Zaiser, Stefan Sebastian [Author] ; Dietmayer, Klaus [Contributor]; Aschemann, Harald [Contributor]

Mengenbasierte Black-Box-Identifikation linearer Systeme

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Universität Ulm, 2017-05-23T12:48:01Z
Forstenhäusler, Marc [Author]; Dietmayer, Klaus [Author] ; Universität Ulm Institut für Mess-, Regel- und Mikrotechnik

"Autonomer Mess-Roboter (AuMeRo)"; Teilvorhaben "Robotik und Navigation" : Abschlussbericht Förderprojekt : Laufzeit des Vorhabens: 01.01.2017-31.03.2021

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Ulm: Universität Ulm, [2021?]
Nobis, Felix Otto Geronimo [Author] ; Lienkamp, Markus [Degree supervisor]; Dietmayer, Klaus [Other]; Lienkamp, Markus [Other]

Deep Learning-based Radar, Camera, and Lidar Fusion for Object Detection

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https://d-nb.info/1257869051/34

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München: Universitätsbibliothek der TU München, 2022
Nobis, Felix Otto Geronimo [Author] ; Lienkamp, Markus [Degree supervisor]; Dietmayer, Klaus [Other]; Lienkamp, Markus [Other]

Deep Learning-based Radar, Camera, and Lidar Fusion for Object Detection

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München: Universitätsbibliothek der TU München, 2022
Buchholz, Michael [Author]; Dietmayer, Klaus [Author]; Herrmann, Martin [Author]; Müller, Johannes [Author] ; Universität Ulm

Verbundprojekt MEC-View - Mobile Edge Computing basierte Objekterkennung für hoch- und vollautomatisiertes Fahren : BMWi-Förderprogramm: Hoch- und vollautomatisiertes Fahren für anspruchsvolle Fahrsituationen : Projektlaufzeit 01.12.2017-31.05.2020 : individueller Schlussbericht

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[Ulm]: [Universität Ulm], 25.11.2020
Schumann, Oliver [Author]; Buchholz, Michael [Author]; Dietmayer, Klaus [Author]

Efficient Path Planning in Large Unknown Environments with Switchable System Models for Automated Vehicles

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https://nbn-resolving.org/urn:nbn:de:bsz:289-oparu-52501-0

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Ulm: Universität Ulm, 2024
Dietmayer, Klaus [Author]; Ditzel, Carsten [Author]; Pfeuffer, Andreas [Author] ; Universität Ulm Institut für Mess-, Regel- und Mikrotechnik

Vorhabenbezeichnung: Allwettertaugliches Multi-Sensorsystem für das autonome Fahren - DENSE; Teilvorhaben: DENSE-Signalverbesserung : Abschlussbericht : Laufzeit des Vorhabens: 1. Juni 2016-29.02.2020

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[Ulm]: Universität Ulm, [16.09.2020]

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