taco-group/COCMT
[IROS'25] COCMT
This project offers a communication-efficient way for multiple autonomous vehicles to collaboratively perceive their surroundings. It takes in sensor data, like LiDAR and camera feeds, from different vehicles and fuses this information to create a more comprehensive understanding of the environment. Autonomous driving engineers and researchers working on connected vehicle systems would use this to improve perception accuracy.
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Use this if you are developing or researching cooperative perception systems for autonomous vehicles and need to improve object detection accuracy while minimizing data exchange between vehicles.
Not ideal if you are working on single-vehicle perception systems or do not have access to multi-vehicle sensor data for collaborative processing.
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Language
Python
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Last pushed
Aug 14, 2025
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