ZHOUYI1023/awesome-radar-perception
A curated collection of datasets, papers, and methods for deep learning-based radar perception in autonomous driving.
Not currently ranked — collecting fresh signals.
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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.
Frequently asked
- What is ZHOUYI1023/awesome-radar-perception?
- A curated collection of datasets, papers, and methods for deep learning-based radar perception in autonomous driving.
- Is awesome-radar-perception open source?
- Yes — ZHOUYI1023/awesome-radar-perception is an open-source project tracked on heatdrop.
- How popular is awesome-radar-perception?
- ZHOUYI1023/awesome-radar-perception has 1.9k stars on GitHub.
- Where can I find awesome-radar-perception?
- ZHOUYI1023/awesome-radar-perception is on GitHub at https://github.com/ZHOUYI1023/awesome-radar-perception.