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Closed-loop simulation on NeuroNCAP

3.49NeuroNCAP Score (Avg)ImagiDrive-S
0.54681.31092.0752.8391Aug 15, 2025Sep 17, 2025Oct 21, 2025Nov 24, 2025Dec 28, 2025Jan 31, 2026Mar 6, 2026

Evaluation results

MethodLinks
ImagiDrive-SBase Model=InternVL2.52025.083.494.152.453.8844.933.87426.8
ColaVLAReference=This Paper2025.123.483.543.163.7536.832.351.626.4
ImagiDrive-ABase Model=InternVL2.52025.083.113.811.973.5448.5737.2478.4730.01
BridgeAD-BReference=CVPR 2025, Trajectory post-processing=true2025.123.06———44.3———
ImagiDrive-SBase Model=LLaVA-1.62025.082.993.631.883.4759.4545.7282.1550.49
BridgeAD-SReference=CVPR 2025, Trajectory post-processing=true2025.122.98———46.1———
Distilled8B BEVTraining=Det. + Distill2026.032.71———55———
Distilled1B BEVTraining=Det. + Distill2026.032.46———63———
ImagiDrive-ABase Model=LLaVA-1.62025.082.372.891.42.8166.7950.1390.0660.18
Impromptu VLA2025.082.151.772.311.7565.5705965
Our BaselineTraining=Det.2026.032.1———62———
ImpromptuVLAReference=NeurIPS 2025, Additional training data=true, Text-based driving VLM model=true2025.122.062.551.861.7865.154.872.867.6
BridgeAD-BReference=CVPR 2025, Trajectory post-processing=false2025.121.6———72.6———
BridgeAD2025.081.6———72.6———
BridgeAD-SReference=CVPR 2025, Trajectory post-processing=false2025.121.52———76.2———
SparseDriveReference=ICRA 20252025.120.92———93.9———
SparseDriveOriginal Setting=true2025.080.921.160.630.9693.993.498.490
UniADReference=CVPR 20232025.120.730.840.11.2688.687.898.479.6
UniAD2025.080.730.840.11.2688.687.898.479.6
VADReference=ICCV 20232025.120.660.470.041.4592.596.299.681.6
VADOriginal Setting=true2025.080.660.470.041.4592.596.299.681.6