Title: Neural Networks in Automotive Radar Signal Processing

Speaker: Prof. Dr. Markus Gardill

Time: 11: 30-12: 00, December 4, 2023

Place: Liangjiang Grand Ballroom

Abstract: The high-volume automotive market, focusing on advanced driver assistance systems and highly automated driving applications, pushed the development of, fully int, egrated and intelligent radar systems over the last decade. The current development of sensor hardware can be interpreted as a gradual evolution from previous generations, focusing, e.g., on advanced fully int, egrated ra, dar system, s on a chi, p, the applic, ation of waveguide antennas, netwo, rked radar sensors, and , an increased level of waveform flexibility. However, with the recent advances in machine learning, particularly neural networks, and deep learning, revolutionary concepts are proposed for automotive radar signal processing. Ranging from interference detection and mitigation applied to the raw data at the very beginning of the signal processing chain, over intermediate processing steps such as detection, direction-of-arrival estimation, and r, adar image enhancement, up to high-level processing such as object classification and semantic segmentation of the environment, neural networks show impressive performance when applied in automotive radar. In this talk, , the key concepts of applying neural networks throughout the whole signal-processing chain of automotive radar systems are reviewed and state-of-the-art ideas are discussed.

Biography: Markus Gardill is a professor and head of the Chair of Electronic Systems and Sensors and the Brandenburg University of Technology Cottbus–Senftenberg, Germany.He received the Dipl.-Ing. and Dr.-Ing. degree in systems of information and multimedia technology/electrical engineering from the Friedrich-Alexander-University Erlangen-Nürnberg, Germany, in 2010 and 2015, respectively, where he was a research assistant, teaching fellow, and later head of the team for radio communication technology.Between 2015 and 2020 he was R&D engineer and research cluster owner for optical and imaging metrology systems at Robert Bosch GmbH and later joined InnoSenT GmbH.Here he was head of the group radar signal processing & tracking, developing together with his team new generations of automotive radar sensors for advanced driver assistance systems and autonomous driving. From 2020 to 2021 he was associate professor for satellite communication systems at the Julius Maximilian University of Würzburg. His main research interest includes radar and communication systems, antenna (array) design, and signal processing algorithms. His particular interest is space-time processing, such as e.g., beamforming and direction-of-arrival estimation, together with cognitive and adaptive systems. Markus Gardill is a member of the IEEE Microwave Theory and Techniques Society (IEEE MTT-S).He served as co-chair of the IEEE MTT-S Technical Committee Digital Signal Processing (MTT-9), regularly acts as a reviewer and TPRC member for several journals and conferences, currently serves as co-chair of the Technical Committee on Aerospace Systems (MTT-29) and will serve as its chair from 2024 on. He was associate editor of the Transactions on Microwave Theory and Techniques from 2020-2022 and is co-chair of the IEEE Future Direction Initiative Low-Earth Orbit Satellite Systems (LEO SatS). He was a Distinguished Microwave Lecturer (DML) for the DML term 2018-2020 with a presentation on signal processing and system aspects of automotive radar systems.