Radar Based Approach

Radar-based approaches are rapidly advancing, offering robust and reliable solutions for various applications, primarily focusing on autonomous systems and human-computer interaction. Current research emphasizes developing sophisticated algorithms for object detection and localization, often employing deep learning architectures like convolutional neural networks and attention mechanisms to process radar data effectively, and leveraging polarimetric information for improved accuracy. These advancements are significantly impacting fields like autonomous driving, robotics, and healthcare, enabling capabilities such as precise self-localization, improved object detection in challenging conditions, and even contactless monitoring of human activity.