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Planning on nuPlan 14 Hard (test)

94.03Average ScoreLog-replay
3.196426.778250.3673.9418Sep 26, 2024Jan 7, 2025Apr 21, 2025Aug 2, 2025Nov 14, 2025Feb 25, 2026Jun 9, 2026

Evaluation results

MethodLinks
Log-replayType=Expert, Evaluation Protocol=Non-reactive (NR)2026.0694.03————
Log ReplayType=Expert2024.0984.91008668.8—
SDD Planner2026.0280.32————
PLUTO2026.0280.12————
DFP (ours) †Type=Learning-based, Evaluation Protocol=Non-reactive (NR), components=Flow Matching + Mixture-of-Transformer2026.0679.43————
DFP (ours)Type=Learning-based, Evaluation Protocol=Non-reactive (NR)2026.0676.91————
CoPlannerType=Learning-based, Evaluation Protocol=Non-reactive (NR)2026.0676.82————
BeTopNetType=Learning2024.0976.68477.168.8—
Flow PlannerType=Learning-based, Evaluation Protocol=Non-reactive (NR)2026.0676.47————
Diffusion PlannerType=Learning-based, Evaluation Protocol=Non-reactive (NR)2026.0675.99————
Log-replayType=Expert, Evaluation Protocol=Reactive (R)2026.0675.86————
Diffusion Planner *Type=Learning-based, Evaluation Protocol=Non-reactive (NR), reproduced=true2026.0674.26————
PlanTFType=Learning2024.0972.583.372.661.7—
PDM-HybridType=Hybrid2024.0971.973.86675.8—
PLUTORefinement=None2026.0270.74————
Flow PlannerType=Learning-based, Evaluation Protocol=Reactive (R)2026.0670.42————
GameFormerType=Hybrid2024.0970.275.366.668.8—
PLUTOType=Learning-based, Evaluation Protocol=Non-reactive (NR)2026.0670.03————
PlanTFType=Learning-based, Evaluation Protocol=Non-reactive (NR)2026.0669.7————
PlanTF2026.0269.63————
Diffusion PlannerType=Learning-based, Evaluation Protocol=Reactive (R)2026.0669.22————
DFP (ours) †Type=Learning-based, Evaluation Protocol=Reactive (R), components=Flow Matching + Mixture-of-Transformer2026.0667.94————
GameFormer2026.0267.85————
PDMType=Hybrid2026.0266.13————
PDMType=Closed2026.0265.08————
CoPlannerType=Learning-based, Evaluation Protocol=Reactive (R)2026.0664.47————
DFP (ours)Type=Learning-based, Evaluation Protocol=Reactive (R)2026.0663.56————
PlanTFType=Learning-based, Evaluation Protocol=Reactive (R)2026.0661.61————
Diffusion Planner *Type=Learning-based, Evaluation Protocol=Reactive (R), reproduced=true2026.0661.25————
PLUTOType=Learning-based, Evaluation Protocol=Reactive (R)2026.0659.74————
UrbanDriverType=Learning2024.0959.276.951.549.1—
IDM2026.0256.21————
PDM-ClosedType=Rule2024.0955.626.465.175.2—
GC-PGPType=Learning2024.0952.273.843.239.6—
PlanCNNType=Learning2024.0951.352.449.452.2—
UrbanDriverType=Learning-based, Evaluation Protocol=Non-reactive (NR)2026.0650.4————
UrbanDriver2026.0249.95————
UrbanDriverType=Learning-based, Evaluation Protocol=Reactive (R)2026.0649.95————
PDM-OpenType=Learning2024.0949.579.133.535.8—
IDMType=Rule2024.0946.220.156.262.3—
PDM-Open*Type=Learning-based, Evaluation Protocol=Reactive (R), reproduced=true2026.0635.83————
PDMType=Open*2026.0235.53————
PDM-Open*Type=Learning-based, Evaluation Protocol=Non-reactive (NR), reproduced=true2026.0633.51————
GameFormerRefinement=None2026.027.08————
GameFormerType=Learning-based, Evaluation Protocol=Non-reactive (NR)2026.067.08————
GameFormerType=Learning-based, Evaluation Protocol=Reactive (R)2026.066.69————
BIBeRIntegration=Co-Leader2025.12——73—79.57
BIBeR-CVIntegration=Co-Leader2025.12——80.3—83
DiffusionPlannerIntegration=Joint2025.12——75.99—69.22
DTPPIntegration=Co-Leader2025.12——60.11—63.66
GameFormerIntegration=Joint2025.12——68.7—67.05
GC-PGPIntegration=None2025.12——43.22—39.36
PDM-ClosedIntegration=Human Leader2025.12——65.08—75.19
PDM-HybridIntegration=Human Leader2025.12——65.99—76.07
PDM-OpenIntegration=None2025.12——33.51—35.83
PlanCNNIntegration=None2025.12——49.4—52.2
PlanTFIntegration=None2025.12——69.7—61.61
Urban DriverIntegration=None2025.12——50.4—49.95