5 papers
RadProPoser: Probabilistic Radar Tensor Human Pose Estimation That Knows Its Limits
Jonas Leo Mueller, Lukas Engel, Eva Dorschky +4
Radar-based human pose estimation enables privacy-preserving motion tracking for ambient intelligence, yet the noisy nature of radar sensing makes uncertainty quantification essent…
MAROON: A Dataset for the Joint Characterization of Near-Field High-Resolution Radio-Frequency and Optical Depth Imaging Techniques
Vanessa Wirth, Johanna Bräunig, Nikolai Hofmann +3
Utilizing the complementary strengths of wavelength-specific range or depth sensors is crucial for robust computer-assisted tasks such as autonomous driving. Despite this, there is…
MM-2FSK: Multimodal Frequency Shift Keying for Ultra-Efficient and Robust High-Resolution MIMO Radar Imaging
Vanessa Wirth, Johanna Bräunig, Martin Vossiek +2
Accurate reconstruction of static and rapidly moving targets demands three-dimensional imaging solutions with high temporal and spatial resolution. Radar sensors are a promising se…
UAV-Borne Digital Radar System for Coherent Multistatic SAR Imaging
Julian Kanz, Christian Gesell, Christina Bonfert +5
Advancements in analog-to-digital converter (ADC) technology have enabled higher sampling rates, making it feasible to adopt digital radar architectures that directly sample the ra…
3D Face Reconstruction From Radar Images
Valentin Braeutigam, Vanessa Wirth, Ingrid Ullmann +4
The 3D reconstruction of faces gains wide attention in computer vision and is used in many fields of application, for example, animation, virtual reality, and even forensics. This…