3D Lane Detection

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

4 leaderboard tables shown for this task, 4 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

4 datasets 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.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

24 shown of 24 papers with code (54 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.

• VectorMapNet: End-to-end Vectorized HD Map Learning
  17 Jun 2022 3 repositories listed
  To the best of our knowledge, VectorMapNet is the first work designed towards end-to-end vectorized map learning from onboard observations.
• ONCE-3DLanes: Building Monocular 3D Lane Detection
  30 Apr 2022 2 repositories listed
  We present ONCE-3DLanes, a real-world autonomous driving dataset with lane layout annotation in 3D space.
• PersFormer: 3D Lane Detection via Perspective Transformer and the OpenLane Benchmark
  21 Mar 2022 2 repositories listed Syntology ran 8 of 15 samples · 7 unverified
  Methods for 3D lane detection have been recently proposed to address the issue of inaccurate lane layouts in many autonomous driving scenarios (uphill/downhill, bump, etc.).
• Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models
  10 Jun 2025 1 repository listed
  To address this challenge, we introduce the Cosmos-Drive-Dreams - a synthetic data generation (SDG) pipeline that aims to generate challenging scenarios to facilitate downstream tasks such as perception and driving…
• Anchor3DLane++: 3D Lane Detection via Sample-Adaptive Sparse 3D Anchor Regression
  22 Dec 2024 1 repository listed
  Previous methods typically adopt inverse perspective mapping (IPM) to transform the Front-Viewed (FV) images or features into the Bird-Eye-Viewed (BEV) space for lane detection.
• Monocular Lane Detection Based on Deep Learning: A Survey
  25 Nov 2024 1 repository listed
  Lane detection plays an important role in autonomous driving perception systems.
• Flexible 3D Lane Detection by Hierarchical Shape MatchingFlexible 3D Lane Detection by Hierarchical Shape Matching
  13 Aug 2024 1 repository listed Syntology ran 8 of 10 samples · 2 unverified
  As one of the basic while vital technologies for HD map construction, 3D lane detection is still an open problem due to varying visual conditions, complex typologies, and strict demands for precision.
• RepVF: A Unified Vector Fields Representation for Multi-task 3D Perception
  15 Jul 2024 1 repository listed Syntology ran 4 of 6 samples · 2 unverified
  Concurrent processing of multiple autonomous driving 3D perception tasks within the same spatiotemporal scene poses a significant challenge, in particular due to the computational inefficiencies and feature competition…
• DV-3DLane: End-to-end Multi-modal 3D Lane Detection with Dual-view Representation
  23 Jun 2024 1 repository listed
  3) A 3D dual-view deformable attention mechanism, which aggregates discriminative features from both PV and BEV spaces into queries for accurate 3D lane detection.
• Enhancing 3D Lane Detection and Topology Reasoning with 2D Lane Priors
  5 Jun 2024 1 repository listed
  3D lane detection and topology reasoning are essential tasks in autonomous driving scenarios, requiring not only detecting the accurate 3D coordinates on lane lines, but also reasoning the relationship between lanes and…
• ScalableMap: Scalable Map Learning for Online Long-Range Vectorized HD Map Construction
  20 Oct 2023 1 repository listed Syntology ran 5 of 7 samples · 2 unverified · 7 pointer-only (licence)
  We extract more accurate bird's eye view (BEV) features guided by their linear structure, and then propose a hierarchical sparse map representation to further leverage the scalability of vectorized map elements and…
• TopoMLP: A Simple yet Strong Pipeline for Driving Topology Reasoning
  10 Oct 2023 1 repository listed
  Further, we propose TopoMLP, a simple yet high-performance pipeline for driving topology reasoning.
• Advancements in 3D Lane Detection Using LiDAR Point Clouds: From Data Collection to Model Development
  24 Sep 2023 1 repository listed
  Advanced Driver-Assistance Systems (ADAS) have successfully integrated learning-based techniques into vehicle perception and decision-making.
• LATR: 3D Lane Detection from Monocular Images with Transformer
  8 Aug 2023 1 repository listed Syntology ran 11 of 14 samples · 3 unverified
  On the one hand, each query is generated based on 2D lane-aware features and adopts a hybrid embedding to enhance lane information.
• OpenLane-V2: A Topology Reasoning Benchmark for Unified 3D HD Mapping
  20 Apr 2023 1 repository listed Syntology ran 0 of 1 samples · 1 unverified
  Accurately depicting the complex traffic scene is a vital component for autonomous vehicles to execute correct judgments.
• Graph-based Topology Reasoning for Driving Scenes
  11 Apr 2023 1 repository listed Syntology ran 0 of 4 samples · 4 unverified
  Understanding the road genome is essential to realize autonomous driving.
• Anchor3DLane: Learning to Regress 3D Anchors for Monocular 3D Lane Detection
  6 Jan 2023 1 repository listed
  An attempt has been made to get rid of BEV and predict 3D lanes from FV representations directly, while it still underperforms other BEV-based methods given its lack of structured representation for 3D lanes.
• WS-3D-Lane: Weakly Supervised 3D Lane Detection With 2D Lane Labels
  23 Sep 2022 1 repository listed
  To the best of our knowledge, WS-3D-Lane is the first try of 3D lane detection under weakly supervised setting.
• 3DLaneNAS: Neural Architecture Search for Accurate and Light-Weight 3D Lane Detection
  6 Sep 2022 1 repository listed
  Lane detection is one of the most fundamental tasks for autonomous driving.
• MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction
  30 Aug 2022 1 repository listed
  High-definition (HD) map provides abundant and precise environmental information of the driving scene, serving as a fundamental and indispensable component for planning in autonomous driving system.
• PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images
  2 Jun 2022 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  More specifically, we extend the 3D position embedding (3D PE) in PETR for temporal modeling.
• Learning to Predict 3D Lane Shape and Camera Pose from a Single Image via Geometry Constraints
  31 Dec 2021 1 repository listed
  In this task, the correct camera pose is the key to generating accurate lanes, which can transform an image from perspective-view to the top-view.
• Gen-LaneNet: A Generalized and Scalable Approach for 3D Lane Detection
  24 Mar 2020 1 repository listed
  The method, inspired by the latest state-of-the-art 3D-LaneNet, is a unified framework solving image encoding, spatial transform of features and 3D lane prediction in a single network.
• 3D-LaneNet: End-to-End 3D Multiple Lane Detection
  26 Nov 2018 1 repository listed
  We introduce a network that directly predicts the 3D layout of lanes in a road scene from a single image.

Syntology lines on 8 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.