This research provides a comprehensive review of collaborative perception datasets that enable multiple autonomous vehicles to share sensor data and enhance overall driving safety.

• Examines diverse V2X communication paradigms across existing datasets
• Analyzes varying sensor configurations and their impact on perception quality
• Identifies key application scenarios where collaborative perception offers advantages
• Highlights the need for standardized evaluation metrics in this emerging field

For engineering teams, this review offers a valuable roadmap for selecting appropriate datasets when developing multi-agent perception systems, helping address current limitations in single-vehicle autonomous driving technology.

Collaborative Perception Datasets for Autonomous Driving: A Review