ZHOUYI1023/awesome-radar-perception

Comprehensively catalogs radar perception resources across the autonomous driving pipeline, including pre-CFAR raw signal datasets (ADC, range-Doppler, range-azimuth tensors) and post-processing point cloud annotations alongside established benchmarks like nuScenes and CARRADA. Organizes curated links to detection/tracking/fusion methods, signal processing toolboxes, sensor calibration techniques, and domain challenges (multipath effects, mutual interference, cell migration) that distinguish radar from vision-based approaches. Actively maintained with integration to a published review paper and slides tracking emerging 4D radar hardware and generative model applications for autonomous driving.

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