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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 11–20 of 35 papers

TitleStatusHype
X-Driver: Explainable Autonomous Driving with Vision-Language Models—0
Two Tasks, One Goal: Uniting Motion and Planning for Excellent End To End Autonomous Driving Performance—0
End-to-End Driving with Online Trajectory Evaluation via BEV World ModelCode3
ORION: A Holistic End-to-End Autonomous Driving Framework by Vision-Language Instructed Action Generation—0
Hydra-NeXt: Robust Closed-Loop Driving with Open-Loop TrainingCode1
DiffAD: A Unified Diffusion Modeling Approach for Autonomous Driving—0
SimLingo: Vision-Only Closed-Loop Autonomous Driving with Language-Action AlignmentCode3
HiP-AD: Hierarchical and Multi-Granularity Planning with Deformable Attention for Autonomous Driving in a Single DecoderCode2
DriveTransformer: Unified Transformer for Scalable End-to-End Autonomous DrivingCode2
CAPS: Context-Aware Priority Sampling for Enhanced Imitation Learning in Autonomous Driving—0
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