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Automotive Robust Radar Sensing

Automotive Robust Radar Sensing

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Radar sensors are very important in the automotive industry because they have the ability to directly measure the speed of other road users. The DFKI is working with our partners to develop intelligent software solutions to improve the performance of high-resolution radar sensors. We are using machine learning and deep neural networks to detect ghost targets in radar data thus improving their reliability and opens up a wide area of possibilities for highly automated driving.


ASTYX GmbH (Dr. Georg Kuschk), Lise-Meitner-Straße 2a, 85521, Ottobrunn, DE

BIT Technology Solutions gmbH (Geschäftsleitung), Gewerbering 3, 83539 Pfaffing OT Forsting, DE


BMBF - Federal Ministry of Education and Research


BMBF - Federal Ministry of Education and Research

Publications about the project

Mahdi Chamseddine; Jason Raphael Rambach; Oliver Wasenmüller; Didier Stricker

In: International Conference on Pattern Recognition. International Conference on Pattern Recognition (ICPR-2020), 25th International Conference on Pattern Recognition, January 12-15, Milan, Italy, ISBN 978-1-7281-8808-9, IEEE, 5/2021.

To the publication