ZHOUYI1023/awesome-radar-perception
A curated collection of datasets, papers, and methods for deep learning-based radar perception in autonomous driving.

This repository aggregates resources on radar perception for autonomous vehicles, including radar datasets, deep learning methods for detection and tracking, sensor fusion techniques, and related signal processing tools. It references a 41-page review paper and organizes links to research across object detection, SLAM, ego-motion estimation, and other perception tasks. The list is maintained for researchers and engineers working on radar-based perception systems.