List your company

Closed-loop Autonomous Driving on Bench2Drive closed-loop

97DSPDM-Lite
14.89236.208557.52578.8415May 8, 2025Jul 13, 2025Sep 17, 2025Nov 23, 2025Jan 28, 2026Apr 4, 2026Jun 10, 2026

Evaluation results

MethodLinks
PDM-LiteType=Rule-based planner, Access=Privileged information2025.059792.3——88.893.398.39093.792.8——
Think2DriveVenue=ECCV 2024, Scheme=RL Expert, Modality=Privileged2025.0591.8585.41269.1425.97————————
PersonaDriveStyle=Conservative2026.0689.1673.37258.4433.05——————5.13.17
VLADriver-RAGParadigm=VLA2026.0589.1270.42——————————
PersonaDriveStyle=Aggressive2026.0688.3571.56269.227.85——————63.96
PersonaDriveStyle=Neutral2026.0687.2169.27264.8331.2——————5.53.51
SimlingoParadigm=VLA2026.0585.0767.27——————————
DMWStyle=Conservative2026.0682.7271.56237.0634.62——————6.185.26
DMWStyle=Neutral2026.0682.0370.95244.9828.67——————6.345.43
DMWStyle=Aggressive2026.0679.567.36281.5621.62——————7.726.01
GaussianFusion2025.0579.154.4——36.664.466.553.360.856.3——
SimLingoStyle=Aggressive2026.0678.5665.83247.618.61——————7.665.39
SimLingoStyle=Conservative2026.0678.1865.56238.7726.99——————7.215.29
SimLingoStyle=Neutral2026.0678.1565.85241.4424.67——————7.375.22
ORIONParadigm=VLA2026.0577.7454.62——————————
StyleDriveStyle=Conservative2026.0677.0261.96242.1823.67——————6.825.39
TF++Note=Implementation uses same backbone and training dataset as current method2025.0576.954——48.837.664.25059.752——
StyleDriveStyle=Neutral2026.0676.2662.13249.0721.35——————6.985.43
StyleDriveStyle=Aggressive2026.0675.6860.89256.7116.79——————7.235.59
Raw2DriveScheme=RL, Modality=Image2025.0571.3650.24214.1722.42————————
DriveAdapterVenue=ICCV 2023, Scheme=IL, Modality=Image, Expert Distillation=true2025.0564.2233.0870.2216.01————————
DriverAdapterParadigm=E2E2026.0564.2233.08——————————
DriveAdapter2025.0564.233.1——28.826.448.85056.442.1——
DriveTransformer2025.0563.535——17.63548.44052.138.6——
DriveTransVenue=ICLR 2025, Scheme=IL, Modality=Image2025.0563.4635.01100.6420.78————————
ThinkTwiceVenue=CVPR 2023, Scheme=IL, Modality=Image, Expert Distillation=true2025.0562.4431.2369.3316.22————————
ThinkTwiceParadigm=E2E2026.0562.4431.23——————————
ThinkTwice2025.0562.433.2——27.418.435.85054.437.2——
TCP-trajVenue=NeurIPS 2022, Scheme=IL, Modality=Image, Expert Distillation=true2025.0559.93076.5418.08————————
TCP-trajParadigm=E2E2026.0559.930——————————
X-DriverPre-training frames=3 million frames, Chain of Thought (CoT)=true, Task version=auxiliary task version, Subtask splitting=split into 4 subtasks2025.0551.718.1——————————
X-DriverPre-training frames=3 million frames, Chain of Thought (CoT)=false2025.0549.115.2——————————
UniADPre-training frames=2 million frames, Chain of Thought (CoT)=false2025.0545.917.5——————————
UniAD-BaseVenue=CVPR 2023, Scheme=IL, Modality=Image2025.0545.8116.36129.2143.58————————
UniAD-BaseParadigm=E2E2026.0545.8116.36——————————
UniAD2025.0545.816.4——14.117.821.71014.215.6——
GenADVenue=ECCV 2024, Scheme=IL, Modality=Image2025.0544.8115.9——————————
MomADVenue=CVPR 2025, Scheme=IL, Modality=Image2025.0544.5416.71170.2148.63————————
VAD2025.0542.415——8.124.418.62019.218.1——
VADVenue=ICCV 2023, Scheme=IL, Modality=Image2025.0542.3515157.9446.01————————
VADParadigm=E2E2026.0542.3515——————————
TCP2025.0540.715——16.2202010714.6——
TCPParadigm=E2E2026.0540.715——————————
AD-MLP2025.0518.10——00004.40.9——
AD-MLPVenue=Arxiv 2023, Scheme=IL, Modality=State2025.0518.05048.4522.63————————
AD-MLPParadigm=E2E2026.0518.050——————————