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Dissertation
Object Detection for Automotive Radar Perception
(2024)
Automated vehicles are among the biggest trends in the automotive industry. The desired level of automation slowly progresses from advanced driver assistance system functions to fully autonomous driving. Excellent environmental perception is a critical requirement in this development. This thesis focuses on solutions to the challenges that come with the utilization of automotive radar systems for road user recognition. Therefore, several machine learning techniques are applied and compared to detect and classify ...
Dissertation
Algorithms for Emotion Recognition
(2023)
Technological advancements have increasingly facilitated emotion recognition through physiological sensors integrated into intelligent devices, such as earables and wristbands. People commonly wear these devices in their everyday lives (i.e., in the wild). Patterns can be extracted from various physiological signals, enabling the recognition of emotions. This capability can be integrated into diverse applications, such as attention management systems, human-robot interaction, and stress detection, enhancing them to ...