Radar Tensor

Radar tensors, specifically 4D representations incorporating Doppler, range, azimuth, and elevation information, are becoming increasingly important for robust object detection and tracking, particularly in challenging weather conditions where vision-based systems struggle. Current research focuses on developing efficient algorithms, such as single-stage architectures, to process these large datasets and extract meaningful features for tasks like 3D human pose estimation and 3D object detection and tracking. This work is significant because it enables the development of more reliable and versatile autonomous systems and other applications requiring accurate perception in diverse environments.