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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

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Showing 1–10 of 35 papers

TitleStatusHype
Hidden Biases of End-to-End Driving DatasetsCode4
Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous DrivingCode4
SparseDrive: End-to-End Autonomous Driving via Sparse Scene RepresentationCode4
Planning-oriented Autonomous DrivingCode4
End-to-End Driving with Online Trajectory Evaluation via BEV World ModelCode3
SimLingo: Vision-Only Closed-Loop Autonomous Driving with Language-Action AlignmentCode3
CarLLaVA: Vision language models for camera-only closed-loop drivingCode3
GenAD: Generative End-to-End Autonomous DrivingCode3
VAD: Vectorized Scene Representation for Efficient Autonomous DrivingCode3
iPad: Iterative Proposal-centric End-to-End Autonomous DrivingCode2
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