20 citations · 44 across the 4 of their papers we have counts for
3 papers · 1 filter
A Deep Automotive Radar Detector using the RaDelft Dataset
Ignacio Roldan, Andras Palffy, Julian F. P. Kooij +3
The detection of multiple extended targets in complex environments using high-resolution automotive radar is considered. A data-driven approach is proposed where unlabeled synchron…
See Further Than CFAR: a Data-Driven Radar Detector Trained by Lidar
Ignacio Roldan, Andras Palffy, Julian F. P. Kooij +3
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 mul…
Self-Supervised Learning for Enhancing Angular Resolution in Automotive MIMO Radars
Ignacio Roldan, Francesco Fioranelli, Alexander Yarovoy
A novel framework to enhance the angular resolution of automotive radars is proposed. An approach to enlarge the antenna aperture using artificial neural networks is developed usin…