3 accepted papers
Radar is a key technology in automotive driving for target detection and perception. In this work, we leverage prior environmental information in the form of occupancy maps to design space-time codes for a fully digital MIMO radar. We transform this design problem into the optimization of spatial be…
The scarcity of automotive radar datasets is a hindrance in the adoption of machine learning-based radar solutions for assisted and autonomous driving systems. In contrast, there is a larger availability of camera images under different driving environments. In this paper, we develop a radar point c…
Millimeter-wave radar is a common sensor modality used in automotive driving for target detection and perception. These radars can benefit from side information on the environment being sensed, such as lane topologies or data from other sensors. Existing radars do not leverage this information to ad…