This $400,312 CAREER award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) supports the University of Alabama's research project to innovate automotive radar perception capabilities for enhanced vehicle safety and autonomous driving. The project aims to develop novel adaptive, collaborative radar sensing and machine learning algorithms to address the limitations of current automotive radar systems, such as mutual interference, multipath issues, and inadequate angular resolution. Key research thrusts include learning-based radar transmit parameter adjustment, optimization algorithms to enhance radar dynamic range, a model-based learning framework for collaborative high-resolution radar imaging, and physics-aware machine learning algorithms for robust environment perception. This work is expected to advance the state-of-the-art in radar imaging and object detection/classification to enable safer and more capable autonomous vehicles. The 5-year project, starting in August 2024, involves collaboration with the automotive industry to accelerate the transition of research findings into practical applications.
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