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Autonomous Driving Research Requires a Community-Driven Data Paradigm
data integrationcommunity collaborationautonomous drivingdataset utilization
2610.08825
Builder Relevance
1h ago70%
Abstract
The paper argues for a collaborative, community-driven data paradigm to enhance the impact of autonomous driving research by improving dataset discovery and integration.
Reality Card
Core Claim
The current reliance on a few benchmark datasets limits the potential of autonomous driving research, necessitating a shift to a community-driven data paradigm.
Method / Result
Over 600 autonomous driving datasets exist, yet most remain underused due to fragmentation and limited visibility.
Limitations
The fragmentation of datasets and incompatible protocols hinder reproducibility and broad research impact.
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