CatOneTwo/Collaborative-Perception-in-Autonomous-Driving
(2023 ITSM) Collaborative Perception in Autonomous Driving: Methods, Datasets and Challenges
This project helps researchers and engineers in autonomous driving understand the field of collaborative perception. It curates and categorizes academic papers on how self-driving vehicles can share sensor data and insights to perceive their surroundings more effectively. The output is a structured overview of existing methods, relevant datasets, and current challenges, used by those developing or studying advanced driver-assistance systems (ADAS) and autonomous vehicle technology.
Use this if you are a researcher or engineer in autonomous driving looking for a comprehensive survey of collaborative perception techniques, datasets, and challenges.
Not ideal if you are looking for code implementations or direct tools to apply collaborative perception in a working system.
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Jan 27, 2026
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