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Found 10 papers, 1 papers with code
Automatic Spatial Calibration of Near-Field MIMO Radar With Respect to Optical Sensors
In contrast, we propose a novel, joint calibration approach for optical RGB-D sensors and MIMO radars that is designed to operate in the radar's near-field range, within decimeters from the sensors.
3D-Printed Dielectric Image Lines towards Chip-to-Chip Interconnects for subTHz-Applications
This paper reports on 3D-printed dielectric image lines for low-loss subTHz applications between 140 and 220 GHz.
Radar-Based Recognition of Static Hand Gestures in American Sign Language
This emphasizes the practicality of our methodology in overcoming data scarcity challenges and advancing the field of automatic gesture recognition in VR and HCI applications.
UAV Formation Optimization for Communication-assisted InSAR Sensing
To this end, we adopt as sensing performance metrics the interferometric coherence, i. e., the local correlation between the two co-registered UAV radar images, and the height of ambiguity (HoA), which together are a measure for the accuracy with which the InSAR system can estimate the height of ground objects.
Concept for an Automatic Annotation of Automotive Radar Data Using AI-segmented Aerial Camera Images
This paper presents an approach to automatically annotate automotive radar data with AI-segmented aerial camera images.
A Realistic Radar Ray Tracing Simulator for Hand Pose Imaging
With the increasing popularity of human-computer interaction applications, there is also growing interest in generating sufficiently large and diverse data sets for automatic radar-based recognition of hand poses and gestures.
Super-Resolution Radar Imaging with Sparse Arrays Using a Deep Neural Network Trained with Enhanced Virtual Data
The key to this performance is that the DNN is trained using realistic simulation data that perfectly mimic a given sparse antenna radar array hardware as the input.
Implementation of Real-Time Automotive SAR Imaging
This paper presents measures to reduce the computation time of automotive synthetic aperture radar (SAR) imaging to achieve real-time capability.
Achieving Efficient and Realistic Full-Radar Simulations and Automatic Data Annotation by exploiting Ray Meta Data of a Radar Ray Tracing Simulator
This approach allows not only almost perfect annotations possible, but also allows the annotation of exotic effects, such as multi-path effects or to label signal parts originating from different parts of an object.
ShaRPy: Shape Reconstruction and Hand Pose Estimation from RGB-D with Uncertainty
Therefore, we propose ShaRPy, the first RGB-D Shape Reconstruction and hand Pose tracking system, which provides uncertainty estimates of the computed pose, e. g., when a finger is hidden or its estimate is inconsistent with the observations in the input, to guide clinical decision-making.
