Data-Centric Autonomous Driving: A Data-Utilization Framework for Learning from Large-Scale Driving Logs
Closed-loop autonomous driving increasingly combines model-centric architectural development with data-centric learning. These two directions are complementary: model-centric methods improve representation, prediction, planning, and control capabilities, whereas data-centric methods improve how training samples, superv...