Raw dataset

This dataset contains radar signal measurements collected using a Frequency-Modulated Continuous Wave (FMCW) radar system during experiments focused on classifying moving road traffic participants. The data includes raw complex-valued radar returns recorded under various real-world environmental conditions, capturing signatures of pedestrians, cyclists, and vehicles. The dataset is intended to support research in radar signal processing, pattern recognition, and machine learning for remote sensing applications. It provides a valuable resource for developing and benchmarking algorithms aimed at object classification and environmental perception in autonomous systems and intelligent traffic monitoring. Accompanying metadata includes information on radar parameters, experimental setup, and ground truth labels for each recorded instance.