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SONY is one of the most innovative companies in the world and drives the development of technology in a global network of research institutions ahead. The Stuttgart Technology Center (STC) was founded in 1989. With the Stuttgart Laboratory 1 (SL1) and the Stuttgart Laboratory 2 (SL2), the STC is a home for two important research and development offices in this network. As part of the European organization of Sony (SEU), the STC plays an important role in the worldwide network of the Research and Development Center (RDC) Sony.
Stuttgart Laboratory 1 conducts research in the areas of "Computational Imaging, Perception Systems, RF Communications, Artificial Intelligence and Speech & Sound Processing." The results of the research will define the core technologies for future products and new business opportunities for Sony.
Radar team of SL1 has been developing signal processing software for several SONY radar prototypes. The software includes the algorithms that process radar data starting from raw radar cubes all the way to detection and tracking results. Good performance of the overall algorithm chain was confirmed both for simulated and real radar data.
The latest version of SL1 radar signal processing software implements conventional algorithms for radar detection and Angle-of-Arrival (AoA) estimation. Recently, several publications disclosed a new approach to solving these radar problems. Namely, to solve them by means of Machine Learning (ML) or Deep Learning (DL) methods.
We would like to understand the benefits and limitations of this approach in context of SONY radar applications (e.g. automotive Short, Medium, and Long Range Radar).
Therefore, the targets of this student project are:
Some of the tasks include: