sim2real.world · gap index · about · arXiv:2611.03940
Coordinate Frame Recovery, Per Class NMS and Null Return Modelling for Sim2Real V2X LiDAR Detection
- task
- Sim-to-real V2X LiDAR object detection
- hardware
- Ouster OS1-64
- simulator
- UrbanTwin
- transfer
- zero-shot
- sim result
- 0.9251
- real result
- 0.4382
The paper does not report a comparable success rate on both sides, so the gap cannot be computed.
What the paper says
Our final entry scores 0.7457 combined, from a detection mAP of 0.4382 and a realism score of 0.9251.
Our final entry scores 0.7457 combined, from a detection mAP of 0.4382 and a realism score of 0.9251.
What it does not report
- synthetic detection mAP
- final per-class AP on real for vehicle, pedestrian, truck
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