Radar Dataset

Radar datasets are collections of radar sensor data used to train and evaluate machine learning models for various applications, including autonomous driving, indoor navigation, and weather forecasting. Current research focuses on developing larger, more diverse datasets encompassing various environments and sensor configurations, along with novel deep learning architectures like transformers and graph neural networks designed to handle the unique characteristics of radar data, such as sparsity and noise. These advancements are crucial for improving the robustness and accuracy of radar-based perception systems, impacting fields ranging from autonomous vehicle safety to improved weather prediction.