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Treffer: 29
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Monographie
Efficient Reinforcement Learning using Gaussian Processes
Marc Peter Deisenroth
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Monographie
Fahrerabsichtserkennung und Risikobewertung für warnende Fahrerassistenzsysteme
Martin Liebner
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Monographie
Tracking Extended Objects in Noisy Point Clouds with Application in Telepresence Systems
Florian Faion
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Monographie
State Estimation for Distributed Systems with Stochastic and Set-membership Uncertainties
Benjamin Noack
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Monographie
Probabilistic Framework for Sensor Management
Marco Huber
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Monographie
Probabilistic Models and Inference for Multi-View People Detection in Overlapping Depth Images
Johannes Wetzel
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Monographie
Nonlinear Gaussian Filtering : Theory, Algorithms, and Applications
Marco Huber
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Monographie
Wissensbasierte probabilistische Modellierung für die Situationsanalyse am Beispiel der maritimen Überwachung
Yvonne Fischer
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Monographie
Probabilistische Vorhersage von Fahrstreifenwechseln für hochautomatisiertes Fahren auf Autobahnen
Andreas Weiser
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Monographie
Simulation-based Planning of Machine Vision Inspection Systems with an Application to Laser Triangulation
Mahsa Mohammadikaji
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Monographie
Framework for Analysis and Identification of Nonlinear Distributed Parameter Systems using Bayesian Uncertainty Quantification based on Generalized Polynomial Chaos
Chettapong Janya-anurak
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Monographie
Jennifer Sander
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Monographie
Learning Dynamic Systems for Intention Recognition in Human-Robot-Cooperation
Peter Krauthausen
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Monographie
Dynamic Switching State Systems for Visual Tracking
Stefan Becker
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Monographie
Machine Learning for Camera-Based Monitoring of Laser Welding Processes
Julia Hartung
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Monographie
Deep Learning based Vehicle Detection in Aerial Imagery
Lars Wilko Sommer
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Monographie
Probabilistic Parametric Curves for Sequence Modeling
Ronny Hug
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Monographie
Dynamic risk management with Markov decision processes
André Philipp Mundt
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Monographie
Christian Ruhhammer
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Ensemble-based Uncertainty Quantification: Bayesian versus Credal Inference
Eyke Hüllermeier, Mohammad Hossein Shaker
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Automated image-based parameter optimization for single-pulse laser drilling
Andreas Michalowski, Peter Reimann, Axel Fehrenbacher, Andreas Jahn, Ömer Can, Lukas Schneller, Mathias Hug, Manuel Klaiber
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Perspektiveninvariante Inferenz von Eckpunkten in Packmustern von Kartonagen - Perspective invariant inference of corner points in packing patterns of cardboard boxes
Volker Willert, Tobias Kaupp, Lucas Reinhart, Felix Endres
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Machine learning-based battery electrode foil inspection
Alexander Korff, Timo Eckhard, Sebastian Georgi, Wenjing Song, Ines Müller
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Evaluation of 3D-LiDAR based person detection algorithms for edge computing
Holger Flatt, Helene Dörksen, Dennis Sprute, Dennis Basile
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Fast semantic segmentation CNNs for FPGAs
Michael Heizmann, Michael Stelzl, Muen Jin, Simon Wezstein
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CAD2Real: Deep learning with domain randomization of CAD data for 3D pose estimation of electronic control unit housings
Ralf Mikut, Andreas Steimer, Elton Tavares de Menezes, Jonas Barth, Simon Bäuerle
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EAP4EMSIG - Experiment Automation Pipeline for Event-Driven Microscopy to Smart Microfluidic Single-Cells Analysis
Ralf Mikut, Katharina Nöh, Johannes Seiffarth, Hanno Scharr, Dietrich Kohlheyer, Oliver Neumann, Thomas Lautenschlager, Bahar Akbaba, Lulkas Scholtes, Maximilian Beichter, Erenus Yildiz, Matthias Pesch, Annik Nassal, Angelo Jovin Yamachui Sitcheu, Nils Friederich
