Department of Microelectronics
Faculty of Electrical Engineering, Mathematics, and Computer Science

dr. A Pálffy

Postdoc
Microwave Sensing, Signals and Systems (MS3), Department of Microelectronics

Expertise: Radar based vulnerable road user detection for autonomous driving focused on low-level radar data representations. 

Biography

Andras Palffy received his MSc degree in 2016 in computer science Engineering from Pazmany Peter Catholic University, Hungary. He also obtained a MSc degree in Digital Signal and Image Processing from Cranfield University, United Kingdom, in 2015. From 2013 to 2017, he was employed by the startup Eutecus, developing computer vision algorithms for traffic monitoring and driver assistance applications. He received a Ph.D. degree at TU Delft, ME, Intelligent Vehicles group, focusing on radar based vulnerable road user detection for autonomous driving. Currently he is a postoc at EWI-MS3, working on the same topic, but with a enhanced focus on low-level radar data representations. 

Publications

  1. A Deep Automotive Radar Detector using the RaDelft Dataset
    Roldan, Ignacio; Palffy, Andras; Kooij, Julian F. P.; Gavrila, Dariu M.; Fioranelli, Francesco; Yarovoy, Alexander;
    IEEE Transactions on Radar Systems,
    pp. 1-1, 2024. DOI: 10.1109/TRS.2024.3485578

  2. See Further Than CFAR: a Data-Driven Radar Detector Trained by Lidar
    Roldan, Ignacio; Palffy, Andras; Kooij, Julian F. P.; Gavrila, Dariu M.; Fioranelli, Francesco; Yarovoy, Alexander;
    In 2024 IEEE Radar Conference (RadarConf24),
    pp. 1-6, 2024. DOI: 10.1109/RadarConf2458775.2024.10548426

BibTeX support

Last updated: 24 May 2023

András Pálffy