Lane Detection

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

13 leaderboard tables shown for this task, 13 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. 10 shown of 13 until expanded.

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

17 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

1 subtask in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 103 papers with code (251 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.

• End to End Learning for Self-Driving Cars
  25 Apr 2016 113 repositories listed Syntology ran 9 of 41 samples · 32 unverified · 9 pointer-only (licence)
  The system automatically learns internal representations of the necessary processing steps such as detecting useful road features with only the human steering angle as the training signal.
• Towards End-to-End Lane Detection: an Instance Segmentation Approach
  15 Feb 2018 22 repositories listed Syntology ran 3 of 34 samples · 31 unverified · 1 pointer-only (licence)
  By doing so, we ensure a lane fitting which is robust against road plane changes, unlike existing approaches that rely on a fixed, pre-defined transformation.
• Ultra Fast Structure-aware Deep Lane Detection
  24 Apr 2020 10 repositories listed Syntology ran 2 of 3 samples · 1 unverified · 3 pointer-only (licence)
  Modern methods mainly regard lane detection as a problem of pixel-wise segmentation, which is struggling to address the problem of challenging scenarios and speed.
• Key Points Estimation and Point Instance Segmentation Approach for Lane Detection
  16 Feb 2020 10 repositories listed Syntology ran 1 of 8 samples · 7 unverified
  In the case of traffic line detection, an essential perception module, many condition should be considered, such as number of traffic lines and computing power of the target system.
• Spatial As Deep: Spatial CNN for Traffic Scene Understanding
  17 Dec 2017 9 repositories listed
  Although CNN has shown strong capability to extract semantics from raw pixels, its capacity to capture spatial relationships of pixels across rows and columns of an image is not fully explored.
• Semantic Instance Segmentation with a Discriminative Loss Function
  8 Aug 2017 8 repositories listed Syntology ran 0 of 2 samples · 2 unverified · 2 pointer-only (licence)
  In this work we propose to tackle the problem with a discriminative loss function, operating at the pixel level, that encourages a convolutional network to produce a representation of the image that can easily be…
• YOLOP: You Only Look Once for Panoptic Driving Perception
  25 Aug 2021 5 repositories listed Syntology ran 1 of 18 samples · 17 unverified
  A panoptic driving perception system is an essential part of autonomous driving.
• CLRNet: Cross Layer Refinement Network for Lane Detection
  19 Mar 2022 4 repositories listed Syntology ran 0 of 4 samples · 4 unverified
  In this way, we can exploit more contextual information to detect lanes while leveraging local detailed lane features to improve localization accuracy.
• CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution
  11 May 2021 4 repositories listed Syntology ran 1 of 3 samples · 2 unverified
  Modern deep-learning-based lane detection methods are successful in most scenarios but struggling for lane lines with complex topologies.
• RESA: Recurrent Feature-Shift Aggregator for Lane Detection
  31 Aug 2020 4 repositories listed
  Lane detection is one of the most important tasks in self-driving.
• BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning
  12 May 2018 4 repositories listed Syntology ran 0 of 2 samples · 2 unverified
  Datasets drive vision progress, yet existing driving datasets are impoverished in terms of visual content and supported tasks to study multitask learning for autonomous driving.
• End-to-End Lane detection with One-to-Several Transformer
  1 May 2023 3 repositories listed
  We first propose the one-to-several label assignment, which combines one-to-many and one-to-one label assignment to solve label semantic conflicts while keeping end-to-end detection.
• HybridNets: End-to-End Perception Network
  17 Mar 2022 3 repositories listed
  Based on these optimizations, we have developed an end-to-end perception network to perform multi-tasking, including traffic object detection, drivable area segmentation and lane detection simultaneously, called…
• Keep your Eyes on the Lane: Real-time Attention-guided Lane Detection
  22 Oct 2020 3 repositories listed Syntology ran 1 of 4 samples · 3 unverified
  Modern lane detection methods have achieved remarkable performances in complex real-world scenarios, but many have issues maintaining real-time efficiency, which is important for autonomous vehicles.
• VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition
  17 Oct 2017 3 repositories listed Syntology ran 0 of 5 samples · 5 unverified
  In this paper, we propose a unified end-to-end trainable multi-task network that jointly handles lane and road marking detection and recognition that is guided by a vanishing point under adverse weather conditions.
• TopoPoint: Enhance Topology Reasoning via Endpoint Detection in Autonomous Driving
  23 May 2025 2 repositories listed
  Extensive experiments on the OpenLane-V2 benchmark demonstrate that TopoPoint achieves state-of-the-art performance in topology reasoning (48.
• TopoLogic: An Interpretable Pipeline for Lane Topology Reasoning on Driving Scenes
  23 May 2024 2 repositories listed
  Ultimately, our approach significantly outperforms the existing state-of-the-art methods on the mainstream benchmark OpenLane-V2 (23.
• TwinLiteNetPlus: A Stronger Model for Real-time Drivable Area and Lane Segmentation
  25 Mar 2024 2 repositories listed
  Semantic segmentation is crucial for autonomous driving, particularly for Drivable Area and Lane Segmentation, ensuring safety and navigation.
• Lane2Seq: Towards Unified Lane Detection via Sequence Generation
  27 Feb 2024 2 repositories listed
  Experimental results demonstrate that such a simple sequence generation paradigm not only unifies lane detection but also achieves competitive performance on benchmarks.
• ADNet: Lane Shape Prediction via Anchor Decomposition
  21 Aug 2023 2 repositories listed
  In this paper, we revisit the limitations of anchor-based lane detection methods, which have predominantly focused on fixed anchors that stem from the edges of the image, disregarding their versatility and quality.
• Contrastive Learning for Lane Detection via cross-similarity
  16 Aug 2023 2 repositories listed
  In this paper, we present a novel self-supervised learning method termed Contrastive Learning for Lane Detection via cross-similarity (CLLD) to enhance the resilience of lane detection models in real-world scenarios,…
• CLRerNet: Improving Confidence of Lane Detection with LaneIoU
  15 May 2023 2 repositories listed
  Lane marker detection is a crucial component of the autonomous driving and driver assistance systems.
• YOLOPv2: Better, Faster, Stronger for Panoptic Driving Perception
  24 Aug 2022 2 repositories listed
  Over the last decade, multi-tasking learning approaches have achieved promising results in solving panoptic driving perception problems, providing both high-precision and high-efficiency performance.
• Ultra Fast Deep Lane Detection with Hybrid Anchor Driven Ordinal Classification
  15 Jun 2022 2 repositories listed
  With the help of the anchor-driven representation, we then reformulate the lane detection task as an ordinal classification problem to get the coordinates of lanes.
• 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.
• A Keypoint-based Global Association Network for Lane Detection
  15 Apr 2022 2 repositories listed Syntology ran 3 of 7 samples · 4 unverified
  Earlier works follow a top-down roadmap to regress predefined anchors into various shapes of lane lines, which lacks enough flexibility to fit complex shapes of lanes due to the fixed anchor shapes.
• Eigenlanes: Data-Driven Lane Descriptors for Structurally Diverse Lanes
  29 Mar 2022 2 repositories listed Syntology ran 3 of 15 samples · 12 unverified
  Second, we generate a set of lane candidates by clustering the training lanes in the eigenlane 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.).
• Rethinking Efficient Lane Detection via Curve Modeling
  4 Mar 2022 2 repositories listed Syntology ran 0 of 12 samples · 12 unverified
  This paper presents a novel parametric curve-based method for lane detection in RGB images.
• Sim-to-Real Domain Adaptation for Lane Detection and Classification in Autonomous Driving
  15 Feb 2022 2 repositories listed
  In this paper, we propose UDA schemes using adversarial discriminative and generative methods for lane detection and classification applications in autonomous driving.

Syntology lines on 15 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.