Background
Radar is a core perception technology in advanced driver assisted systems (ADAS) for enhancing safety and convenience. Future radar systems in vehicles will likely move to the higher millimeter-wave bands and incorporate more digital processing and machine learning capabilities. This Master thesis explores the topic of machine learning in automotive radar sensing in this context, leading to development of novel radar sensing approaches shaping future ADAS.
As a candidate for this position, it is expected that you have:
