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Bench2Drive

Bench2Drive is an autonomous driving benchmark based on the CARLA leaderboard 2.0. It consists of 220 short routes featuring safety critical scenarios. The evaluation is performed closed-loop in the CARLA simulator. The performance of an entire driving stack is being evaluated.

Papers

Showing 2635 of 35 papers

TitleStatusHype
Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous DrivingCode4
Validity Learning on Failures: Mitigating the Distribution Shift in Autonomous Vehicle Planning0
SparseDrive: End-to-End Autonomous Driving via Sparse Scene RepresentationCode4
GenAD: Generative End-to-End Autonomous DrivingCode3
DriveAdapter: Breaking the Coupling Barrier of Perception and Planning in End-to-End Autonomous DrivingCode2
Hidden Biases of End-to-End Driving ModelsCode2
Think Twice before Driving: Towards Scalable Decoders for End-to-End Autonomous DrivingCode2
VAD: Vectorized Scene Representation for Efficient Autonomous DrivingCode3
Planning-oriented Autonomous DrivingCode4
Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong BaselineCode1
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