A digital twin of a real intersection can generate LiDAR training data that matches the target location, and a detector trained on it reported 4.8% higher car AP than a model trained on real data, though with more synthetic frames.
V2v4real: A real-world large-scale dataset for vehicle-to-vehicle cooperative perception,
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High-Fidelity Digital Twins for Bridging the Sim2Real Gap in LiDAR-Based ITS Perception
A digital twin of a real intersection can generate LiDAR training data that matches the target location, and a detector trained on it reported 4.8% higher car AP than a model trained on real data, though with more synthetic frames.