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20242026
most citedRadar-Based Recognition of Static Hand Gestures in American Sign Language

1 citations · 2 across the 11 of their papers we have counts for

collaborators

11 papers

cs.CV2026

Towards Real-Time and Adaptable LiDAR Scene Completion

Azhar Hussian, Martin Vossiek, Vasileios Belagiannis

LiDAR scene completion is a key component of 3D perception in autonomous driving, where the scene must be completed in real time to be usable in downstream tasks. Existing approach…

eess.SP2025

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 dynamic targets demands three-dimensional imaging at high temporal resolution. Radar is a particularly attractive sensing modality for this purpose due t…

cs.CV2025

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…

eess.SY2025

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…

cs.CV2024

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…

eess.IV2024

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…

eess.SP2024

An Efficient yet High-Performance Method for Precise Radar-Based Imaging of Human Hand Poses

Johanna Bräunig, Vanessa Wirth, Marc Stamminger +2

Contactless hand pose estimation requires sensors that provide precise spatial information and low computational complexity for real-time processing. Unlike vision-based systems, r…

physics.app-ph2024

Tight Non-Radiating Bends of 3D-Printed Dielectric Image Lines Based on Electromagnetic Bandgap Mirrors

Leonhard Hahn, Tobias Bader, Christian Carlowitz +2

This paper reports on a novel compact, low-loss bending technique for additively manufactured dielectric image lines between 140 GHz and 220 GHz. Conventional bending approaches re…

eess.SY2024

3D-Printed Dielectric Image Lines towards Chip-to-Chip Interconnects for subTHz-Applications

Leonhard Hahn, Tim Pfahler, Tobias Bader +3

This paper reports on 3D-printed dielectric image lines for low-loss subTHz applications between 140 and 220 GHz. In contrast to conventional dielectric waveguides, a conductive co…

cs.RO2024★ 1 cited

Automatic Spatial Calibration of Near-Field MIMO Radar With Respect to Optical Depth Sensors

Vanessa Wirth, Johanna Bräunig, Danti Khouri +4

Despite an emerging interest in MIMO radar, the utilization of its complementary strengths in combination with optical depth sensors has so far been limited to far-field applicatio…

cs.CV2024★ 1 cited

Radar-Based Recognition of Static Hand Gestures in American Sign Language

Christian Schuessler, Wenxuan Zhang, Johanna Bräunig +3

In the fast-paced field of human-computer interaction (HCI) and virtual reality (VR), automatic gesture recognition has become increasingly essential. This is particularly true for…