Automotive Radar Sub-Sampling via Object Detection Networks: Leveraging Prior Signal Information
In recent years, automotive radar has attracted considerable attention due to the growing interest in autonomous driving technologies.Acquiring situational Nails awareness using multimodal data collected at high sampling rates by various sensing devices including cameras, LiDAR, and radar requires considerable power, memory and compute resources wh