Browse State-of-the-Art › CARLA longest6
CARLA longest6
13 papers with code · 1 benchmark · 1 dataset archive 2025-07-28
longest6 is an evaluation benchmark for sensorimotor autonomous driving methods using the CARLA 0.9.10.1 simulator. It consists of 36 long routes in the publicly available Town 01-06 which, are populated with the maximum traffic density. The benchmark tests level 4 driving capabilities, methods are therefore allowed to train with data from the evaluation towns. Evaluation metrics follow the standard metrics from the CARLA leaderboard 1.0, except that stop sign infractions are not considered.
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.
| Dataset | Best model (first row in archive order) | Paper | Code | Syntology | Compare |
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| CARLA (21 rows) | DiffE2E | — | — | — | Compare |
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 2026-09-25.
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
1 dataset whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Most implemented papers archive 2025-07-28
13 shown of 13 papers with code (15 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.
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31 May 2022 3 repositories listed Syntology ran 5 of 5 samples · 0 unverifiedAt the time of submission, TransFuser outperforms all prior work on the CARLA leaderboard in terms of driving score by a large margin.
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25 Oct 2022 2 repositories listed Syntology ran 2 of 2 samples · 0 unverifiedPlanning an optimal route in a complex environment requires efficient reasoning about the surrounding scene.
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24 Apr 2025 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)Contemporary RL approaches for driving use complex shaped rewards that sum multiple individual rewards, \eg~progress, position, or orientation rewards.
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7 Sep 2023 1 repository listedPlanning and prediction are two important modules of autonomous driving and have experienced tremendous advancement recently.
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1 Aug 2023 1 repository listed Syntology ran 6 of 7 samples · 1 unverifiedWe 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…
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16 Jun 2023 1 repository listed Syntology ran 0 of 4 samples · 4 unverifiedWe propose a novel knowledge distillation framework for effectively teaching a sensorimotor student agent to drive from the supervision of a privileged teacher agent.
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13 Jun 2023 1 repository listed Syntology ran 13 of 17 samples · 4 unverifiedEnd-to-end driving systems have recently made rapid progress, in particular on CARLA.
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10 May 2023 1 repository listed Syntology ran 4 of 7 samples · 3 unverifiedEnd-to-end autonomous driving has made impressive progress in recent years.
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28 Jul 2022 1 repository listed Syntology ran 1 of 1 samples · 0 unverifiedLarge-scale deployment of autonomous vehicles has been continually delayed due to safety concerns.
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Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline16 Jun 2022 1 repository listedThe two branches are connected so that the control branch receives corresponding guidance from the trajectory branch at each time step.
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22 Mar 2022 1 repository listed Syntology ran 2 of 5 samples · 3 unverifiedIn this paper, we present a system to train driving policies from experiences collected not just from the ego-vehicle, but all vehicles that it observes.
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9 Sep 2021 1 repository listed Syntology ran 0 of 2 samples · 2 unverifiedEfficient reasoning about the semantic, spatial, and temporal structure of a scene is a crucial prerequisite for autonomous driving.
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3 May 2021 1 repository listed Syntology ran 2 of 6 samples · 4 unverifiedThis assumption greatly simplifies the learning problem, factorizing the dynamics into a nonreactive world model and a low-dimensional and compact forward model of the ego-vehicle.
Syntology lines on 11 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 2026-09-25.
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