Awesome Radar Perception: Curated Directory of Datasets and Algorithms

ZHOUYI1023 maintains this curated repository of radar perception resources, updated through April 2025. It organizes links to external datasets, detection algorithms, and sensor fusion techniques specifically for autonomous driving applications.

Use Cases

• Evaluating radar detection models using the datasets linked in the detection category
• Designing multi-sensor systems using the fusion-tagged research papers and codebases
• Implementing radar-based SLAM using the curated list of SLAM-specific resources

Strengths

• Updated as of April 2025
• Categorized by specific tasks like detection, tracking, and fusion
• Includes tags for deep learning and autonomous driving applications

Limitations

• Contains links to data rather than hosting the raw data files directly
• No standardized schema across the various linked datasets
• Metadata for individual linked items is not provided in the main list

Provenance

Source

GitHub repository by ZHOUYI1023

Collection Method

Curated

Freshness

Last updated April 2025.

Geography

Global