20 citations · 44 across the 4 of their papers we have counts for
4 papers
Automatic Labelling & Semantic Segmentation with 4D Radar Tensors
Botao Sun, Ignacio Roldan, Francesco Fioranelli
In this paper, an automatic labelling process is presented for automotive datasets, leveraging on complementary information from LiDAR and camera. The generated labels are then use…
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…