SOTAVerified

NavSim

Data-Driven Non-Reactive Autonomous Vehicle Benchmark.

Evaluates autonomous driving stacks that produce waypoints with a static dataset using the PDM-Score metric. The PDM-score metric performs a pseudo-simulation by rolling out the trajectory and simulating all other actors via log-replay. This results in an open-loop evaluation that correlates with closed-loop performance.

Papers

Showing 110 of 26 papers

TitleStatusHype
NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and BenchmarkingCode7
DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous DrivingCode5
VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic PlanningCode5
Pseudo-Simulation for Autonomous DrivingCode4
Planning-oriented Autonomous DrivingCode4
Epona: Autoregressive Diffusion World Model for Autonomous DrivingCode3
Generalized Trajectory Scoring for End-to-end Multimodal PlanningCode3
End-to-End Driving with Online Trajectory Evaluation via BEV World ModelCode3
GoalFlow: Goal-Driven Flow Matching for Multimodal Trajectories Generation in End-to-End Autonomous DrivingCode3
Enhancing End-to-End Autonomous Driving with Latent World ModelCode3
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