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by advancing the algorithms, refining the camera models, and improving the targets. You will integrate, test, and validate the pipeline across different scanning systems. The goal is a robust
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. Your tasks in detail: Become familiar with our previously developed neural network superstructure for learning iterative algorithms Extend the superstructure to tackle AC-PF problems of different
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wide range of markets such as automotive, industrial and aerospace. High-level synthesis (HLS) is a design process that automatically converts algorithms written in high-level programming languages
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objects. Different acquisition devices are used depending on the object properties and quality requirements. A new robot-based multi-sensor platform will combine the existing technologies to enable a
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Foundation Models to perform traversability inference on incoming camera images. However, a major challenge lies in the lack of extensive datasets for the different field environments and the high effort in
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objects. Different acquisition devices are used depending on the object properties and quality requirements. A new robot-based multi-sensor platform will combine the existing technologies to enable a
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the 01.02.2026 at the following conditions (PhD position): 50% = 19,92 hours Pay grade 13 TV-L limited 30.11.2028 Your tasks: Develop AI algorithms for real-time fault detection, fault classification
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objects. Different acquisition devices are used depending on the object properties and quality requirements. For the high-precision measurement of small objects, a laser triangulation scanner has been
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, the objective of this thesis is to develop and test a real-time, tightly-coupled traversability algorithm that fuses information from both sensor modalities, therefore providing a more complete understanding of
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experts from 4 different Helmholtz Centers to implement and deploy integrated methodologies at the cross-section of battery and quantum technologies. QT-Batt is a pioneering initiative with the ambition