154 citations · 212 across the 5 of their papers we have counts for
5 papers
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…
DPFT: Dual Perspective Fusion Transformer for Camera-Radar-based Object Detection
Felix Fent, Andras Palffy, Holger Caesar
The perception of autonomous vehicles has to be efficient, robust, and cost-effective. However, cameras are not robust against severe weather conditions, lidar sensors are expensiv…
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…
Hidden Gems: 4D Radar Scene Flow Learning Using Cross-Modal Supervision
Fangqiang Ding, Andras Palffy, Dariu M. Gavrila +1
This work proposes a novel approach to 4D radar-based scene flow estimation via cross-modal learning. Our approach is motivated by the co-located sensing redundancy in modern auton…
CNN based Road User Detection using the 3D Radar Cube
Andras Palffy, Jiaao Dong, Julian F. P. Kooij +1
This letter presents a novel radar based, single-frame, multi-class detection method for moving road users (pedestrian, cyclist, car), which utilizes low-level radar cube data. The…