442 citations · 902 across the 47 of their papers we have counts for
11 papers · 1 filter
Advanced Strategies for Uncertainty-Guided Live Measurement Sequencing in Fast, Robust SAR ADC Linearity Testing
Thorben Schey, Khaled Karoonlatifi, Michael Weyrich +1
This paper builds on our Uncertainty-Guided Live Measurement Sequencing (UGLMS) method. UGLMS is a closed-loop test strategy that adaptively selects SAR ADC code edges based on mod…
Uncertainty-Guided Live Measurement Sequencing for Fast SAR ADC Linearity Testing
Thorben Schey, Khaled Karoonlatifi, Michael Weyrich +1
This paper introduces a novel closed-loop testing methodology for efficient linearity testing of high-resolution Successive Approximation Register (SAR) Analog-to-Digital Converter…
Directives for Function Offloading in 5G Networks Based on a Performance Characteristics Analysis
Falk Dettinger, Matthias Weiß, Daniel Baumann +2
Cloud-based offloading helps address energy consumption and performance challenges in executing resource-intensive vehicle algorithms. Utilizing 5G, with its low latency and high b…
An OpenSource CI/CD Pipeline for Variant-Rich Software-Defined Vehicles
Matthias Weiß, Anish Navalgund, Johannes Stümpfle +2
Software-defined vehicles (SDVs) offer a wide range of connected functionalities, including enhanced driving behavior and fleet management. These features are continuously updated…
SDVDiag: A Modular Platform for the Diagnosis of Connected Vehicle Functions
Matthias Weiß, Falk Dettinger, Michael Weyrich
Connected and software-defined vehicles promise to offer a broad range of services and advanced functions to customers, aiming to increase passenger comfort and support autonomous…
FedMultiEmo: Real-Time Emotion Recognition via Multimodal Federated Learning
Baran Can Gül, Suraksha Nadig, Stefanos Tziampazis +2
In-vehicle emotion recognition underpins adaptive driver-assistance systems and, ultimately, occupant safety. However, practical deployment is hindered by (i) modality fragility -…
Model-Based Control for Power-to-X Platforms: Knowledge Integration for Digital Twins
Daniel Dittler, Peter Frank, Gary Hildebrandt +3
Offshore Power-to-X platforms enable flexible conversion of renewable energy, but place high demands on adaptive process control due to volatile operating conditions. To face this…
A Concept for Autonomous Problem-Solving in Intralogistics Scenarios
Johannes Sigel, Daniel Dittler, Nasser Jazdi +1
Achieving greater autonomy in automation systems is crucial for handling unforeseen situations effectively. However, this remains challenging due to technological limitations and t…
Communication Architecture for Autonomous Power-to-X Platforms: Enhancing Inspection and Operation With Legged Robots and 5G
Peter Frank, Falk Dettinger, Daniel Dittler +4
Inspection and maintenance of offshore platforms are associated with high costs, primarily due to the significant personnel requirements and challenging operational conditions. Thi…
An Expert Survey on Models and Digital Twins
Jonathan Reif, Daniel Dittler, Milapji Singh Gill +5
Digital Twins (DTs) are becoming increasingly vital for future industrial applications, enhancing monitoring, control, and optimization of physical assets. This enhancement is made…
SyncFed: Time-Aware Federated Learning through Explicit Timestamping and Synchronization
Baran Can Gül, Stefanos Tziampazis, Nasser Jazdi +1
As Federated Learning (FL) expands to larger and more distributed environments, consistency in training is challenged by network-induced delays, clock unsynchronicity, and variabil…