24 papers
Extended Field of View Analysis for VideoGAN-based Trajectory Generation
Annajoyce Mariani, Kira Maag, Hanno Gottschalk
Realistic and diverse trajectory generation is central to enabling higher levels of vehicle automation. While rule-based and classical learning-based methods may struggle to captur…
Generative Design of a Gas Turbine Combustor Using Invertible Neural Networks
Patrick Krüger, Hanno Gottschalk, Werner Krebs +1
The need to burn 100% H2 in high efficient gas turbines featuring low NOx combustion in premix mode require the complete redesign of the combustion system to ensure stable operatio…
Towards Reliable Detection of Empty Space: Conditional Marked Point Processes for Object Detection
Tobias J. Riedlinger, Kira Maag, Hanno Gottschalk
Deep neural networks have set the state-of-the-art in computer vision tasks such as bounding box detection and semantic segmentation. Object detectors and segmentation models assig…
How well do generative models solve inverse problems? A benchmark study
Patrick Krüger, Patrick Materne, Werner Krebs +1
Generative learning generates high dimensional data based on low dimensional conditions, also called prompts. Therefore, generative learning algorithms are eligible for solving (Ba…
Generative Design of Ship Propellers using Conditional Flow Matching
Patrick Kruger, Rafael Diaz, Simon Hauschulz +2
In this paper, we explore the use of generative artificial intelligence (GenAI) for ship propeller design. While traditional forward machine learning models predict the performance…
Comparison of Generative Learning Methods for Turbulence Surrogates
Claudia Drygala, Edmund Ross, Mohammad Sharifi Ghazijahani +3
Numerical simulations of turbulent flows present significant challenges in fluid dynamics due to their complexity and high computational cost. High resolution techniques such as Di…