Bench2Drive

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

No dataset record in the archive lists this task.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

19 shown of 19 papers with code (35 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving
  6 Jun 2024 4 repositories listed Syntology ran 13 of 17 samples · 4 unverified · 17 pointer-only (licence)
  In an era marked by the rapid scaling of foundation models, autonomous driving technologies are approaching a transformative threshold where end-to-end autonomous driving (E2E-AD) emerges due to its potential of scaling…
• SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation
  30 May 2024 2 repositories listed Syntology ran 0 of 2 samples · 2 unverified
  To this end, we explore the sparse representation and review the task design for end-to-end autonomous driving, proposing a new paradigm named SparseDrive.
• VAD: Vectorized Scene Representation for Efficient Autonomous Driving
  21 Mar 2023 2 repositories listed
  In this paper, we propose VAD, an end-to-end vectorized paradigm for autonomous driving, which models the driving scene as a fully vectorized representation.
• ReasonPlan: Unified Scene Prediction and Decision Reasoning for Closed-loop Autonomous Driving
  26 May 2025 1 repository listed
  Our method outperforms the mainstream E2E imitation learning method by a large margin of 19% L2 and 16.
• iPad: Iterative Proposal-centric End-to-End Autonomous Driving
  21 May 2025 1 repository listed
  End-to-end (E2E) autonomous driving systems offer a promising alternative to traditional modular pipelines by reducing information loss and error accumulation, with significant potential to enhance both mobility and…
• End-to-End Driving with Online Trajectory Evaluation via BEV World Model
  2 Apr 2025 1 repository listed Syntology ran 7 of 11 samples · 4 unverified
  Therefore, we propose an end-to-end driving framework WoTE, which leverages a BEV World model to predict future BEV states for Trajectory Evaluation.
• Hydra-NeXt: Robust Closed-Loop Driving with Open-Loop Training
  15 Mar 2025 1 repository listed
  Hydra-NeXt surpasses the previous state-of-the-art by 22.
• SimLingo: Vision-Only Closed-Loop Autonomous Driving with Language-Action Alignment
  12 Mar 2025 1 repository listed Syntology ran 11 of 14 samples · 3 unverified
  Integrating large language models (LLMs) into autonomous driving has attracted significant attention with the hope of improving generalization and explainability.
• HiP-AD: Hierarchical and Multi-Granularity Planning with Deformable Attention for Autonomous Driving in a Single Decoder
  11 Mar 2025 1 repository listed
  Although end-to-end autonomous driving (E2E-AD) technologies have made significant progress in recent years, there remains an unsatisfactory performance on closed-loop evaluation.
• DriveTransformer: Unified Transformer for Scalable End-to-End Autonomous Driving
  7 Mar 2025 1 repository listed
  As a result, the new framework is composed of three unified operations: task self-attention, sensor cross-attention, temporal cross-attention, which significantly reduces the complexity of system and leads to better…
• Hidden Biases of End-to-End Driving Datasets
  12 Dec 2024 1 repository listed Syntology ran 3 of 3 samples · 0 unverified
  End-to-end driving systems have made rapid progress, but have so far not been applied to the challenging new CARLA Leaderboard 2.
• DiFSD: Ego-Centric Fully Sparse Paradigm with Uncertainty Denoising and Iterative Refinement for Efficient End-to-End Self-Driving
  15 Sep 2024 1 repository listed
  Specifically, DiFSD mainly consists of sparse perception, hierarchical interaction and iterative motion planner.
• CarLLaVA: Vision language models for camera-only closed-loop driving
  14 Jun 2024 1 repository listed
  In this technical report, we present CarLLaVA, a Vision Language Model (VLM) for autonomous driving, developed for the CARLA Autonomous Driving Challenge 2.
• GenAD: Generative End-to-End Autonomous Driving
  18 Feb 2024 1 repository listed
  We then employ a variational autoencoder to learn the future trajectory distribution in a structural latent space for trajectory prior modeling.
• DriveAdapter: Breaking the Coupling Barrier of Perception and Planning in End-to-End Autonomous Driving
  1 Aug 2023 1 repository listed Syntology ran 6 of 7 samples · 1 unverified
  We find that even equipped with a SOTA perception model, directly letting the student model learn the required inputs of the teacher model leads to poor driving performance, which comes from the large distribution gap…
• Hidden Biases of End-to-End Driving Models
  13 Jun 2023 1 repository listed Syntology ran 13 of 17 samples · 4 unverified
  End-to-end driving systems have recently made rapid progress, in particular on CARLA.
• Think Twice before Driving: Towards Scalable Decoders for End-to-End Autonomous Driving
  10 May 2023 1 repository listed Syntology ran 4 of 7 samples · 3 unverified
  End-to-end autonomous driving has made impressive progress in recent years.
• Planning-oriented Autonomous Driving
  20 Dec 2022 1 repository listed Syntology ran 1 of 1 samples · 0 unverified
  Oriented at this, we revisit the key components within perception and prediction, and prioritize the tasks such that all these tasks contribute to planning.
• Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline
  16 Jun 2022 1 repository listed
  The two branches are connected so that the control branch receives corresponding guidance from the trajectory branch at each time step.

Syntology lines on 9 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.