awesome-radar-perception

Why we included this project

Radar perception for autonomous driving is a niche where good reference material is hard to find, and this index fills that gap. It gathers datasets, detection and tracking methods, sensor-fusion work, and signal-processing utilities into one place, organized by data, processing, applications, and known challenges. The author keeps it in step with an open-access review paper on deep radar perception, so the links sit on top of a real technical survey rather than random bookmarks. That makes it a practical starting point for teams scoping radar work: you can find benchmark datasets, compare detection and fusion approaches, and see which problems, like weather effects and mutual interference, are still open. It is a research resource, not deployable software, but it saves real time when you are mapping the field.