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Found 6 papers, 1 papers with code
Spatial images from temporal data
Traditional paradigms for imaging rely on the use of a spatial structure, either in the detector (pixels arrays) or in the illumination (patterned light).
Open Radar Initiative: Large Scale Dataset for Benchmarking of micro-Doppler Recognition Algorithms
In this paper, we discuss an "open radar initiative" aimed at promoting the sharing of radar datasets and a common framework for acquiring data.
Self-Supervised Learning for Enhancing Angular Resolution in Automotive MIMO Radars
Data from a high angular resolution radar, i. e., a radar with a large antenna aperture, is used to train a deep neural network to extrapolate the antenna element's response.
3D high-resolution imaging algorithm using 1D MIMO array for autonomous driving application
The problem of 3D high-resolution imaging in automotive multiple-input multiple-output (MIMO) side-looking radar using a 1D array is considered.
See Further Than CFAR: a Data-Driven Radar Detector Trained by Lidar
In this paper, we address the limitations of traditional constant false alarm rate (CFAR) target detectors in automotive radars, particularly in complex urban environments with multiple objects that appear as extended targets.
Analysis of Processing Pipelines for Indoor Human Tracking using FMCW radar
In this paper, the problem of formulating effective processing pipelines for indoor human tracking is investigated, with the usage of a Multiple Input Multiple Output (MIMO) Frequency Modulated Continuous Wave (FMCW) radar.
