January 2023

4 total

16JAN 2023
Ph.D. Gallery
Christoph Seeger
Obstacle Fusion and Scene Interpretation for Autonomous Driving with Occupancy Grids Autonomous driving is, besides electrification, currently one of the most competitiveareas in the automotive industry. A substantially challenging part of autonomousvehicles is the reliable perception of the driving environment. This dissertation isconcerned with improving the sensor-based perception and classification of the staticdriving environment. In […]Obstacle Fusion and Scene Interpretation for Autonomous Driving with Occupancy Grids Autonomous driving is, besides electrification, currently one of the most competitiveareas in the automotive industry. A substantially challenging part of autonomousvehicles is the reliable perception of the driving environment. This dissertation isconcerned with improving the sensor-based perception and classification of the staticdriving environment. In […]
Read more about Christoph Seeger
16JAN 2023
Ph.D. Gallery
<strong>Matthias Utzschneider </strong>
Acquisition- and Reconstruction-Techniques for Sodium Quantification in the Skeletal Muscle using Sodium Magnetic Resonance Imaging (23Na MRI) Measurement of the tissue sodium concentration (TSC) in human tissue offers important insights into pathological- and biological processes with applications in nephrology, neurology and myology. The TSC can be determined non-invasively by sodium magnetic resonance imaging (23Na MRI). […]Acquisition- and Reconstruction-Techniques for Sodium Quantification in the Skeletal Muscle using Sodium Magnetic Resonance Imaging (23Na MRI) Measurement of the tissue sodium concentration (TSC) in human tissue offers important insights into pathological- and biological processes with applications in nephrology, neurology and myology. The TSC can be determined non-invasively by sodium magnetic resonance imaging (23Na MRI). […]
Read more about <strong>Matthias Utzschneider </strong>
16JAN 2023
Ph.D. Gallery
<strong>Juan Camilo Vasquez Correa</strong>
Multimodal Assessment of Parkinson’s Disease Patients using Information from Speech, Handwriting, and Gait The automatic analysis of different bio-signals from patients with Parkinson’s disease is a highly relevant topic that has been addressed by the research community within several years. Identifying bio-markers for early and differential diagnosis, severity assessment, and response to therapy is a […]Multimodal Assessment of Parkinson’s Disease Patients using Information from Speech, Handwriting, and Gait The automatic analysis of different bio-signals from patients with Parkinson’s disease is a highly relevant topic that has been addressed by the research community within several years. Identifying bio-markers for early and differential diagnosis, severity assessment, and response to therapy is a […]
Read more about <strong>Juan Camilo Vasquez Correa</strong>
16JAN 2023
News
ETI funding
We are pleased that Siming Bayer has received the Emerging Talents Initiative (ETI) funding in 2023 for the preparation of the research project “Artificial Intelligent as a Market Participant – Implications for Antitrust Law”, which is mentored by Prof. Andreas Maier of Pattern Recognition Lab and Prof. Jochen Hoffmann of Chair of Commercial Private Law. […]
Read more about ETI funding