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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 21–30 of 35 papers

TitleStatusHype
Sce2DriveX: A Generalized MLLM Framework for Scene-to-Drive Learning—0
Hidden Biases of End-to-End Driving DatasetsCode4
Bench2Drive-R: Turning Real World Data into Reactive Closed-Loop Autonomous Driving Benchmark by Generative Model—0
DiFSD: Ego-Centric Fully Sparse Paradigm with Uncertainty Denoising and Iterative Refinement for Efficient End-to-End Self-DrivingCode1
CarLLaVA: Vision language models for camera-only closed-loop drivingCode3
Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous DrivingCode4
Validity Learning on Failures: Mitigating the Distribution Shift in Autonomous Vehicle Planning—0
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
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