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3D Lane Detection

The goal of 3D Lane Detection is to perceive lanes that provide guidance for autonomous vehicles. A lane can be represented as a visible laneline or a conceptual centerline. Furthermore, a lane obtains extra attributes from the understanding of the surrounding environment.

( Image credit: OpenLane-V2 )

Papers

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Showing 1–50 of 54 papers

TitleStatusHype
Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation ModelsCode3
MapTR: Structured Modeling and Learning for Online Vectorized HD Map ConstructionCode3
PETRv2: A Unified Framework for 3D Perception from Multi-Camera ImagesCode3
Anchor3DLane++: 3D Lane Detection via Sample-Adaptive Sparse 3D Anchor RegressionCode2
Monocular Lane Detection Based on Deep Learning: A SurveyCode2
DV-3DLane: End-to-end Multi-modal 3D Lane Detection with Dual-view RepresentationCode2
Enhancing 3D Lane Detection and Topology Reasoning with 2D Lane PriorsCode2
TopoMLP: A Simple yet Strong Pipeline for Driving Topology ReasoningCode2
LATR: 3D Lane Detection from Monocular Images with TransformerCode2
OpenLane-V2: A Topology Reasoning Benchmark for Unified 3D HD MappingCode2
Graph-based Topology Reasoning for Driving ScenesCode2
VectorMapNet: End-to-end Vectorized HD Map LearningCode2
ONCE-3DLanes: Building Monocular 3D Lane DetectionCode2
PersFormer: 3D Lane Detection via Perspective Transformer and the OpenLane BenchmarkCode2
RepVF: A Unified Vector Fields Representation for Multi-task 3D PerceptionCode1
ScalableMap: Scalable Map Learning for Online Long-Range Vectorized HD Map ConstructionCode1
Anchor3DLane: Learning to Regress 3D Anchors for Monocular 3D Lane DetectionCode1
WS-3D-Lane: Weakly Supervised 3D Lane Detection With 2D Lane LabelsCode1
Learning to Predict 3D Lane Shape and Camera Pose from a Single Image via Geometry ConstraintsCode1
Gen-LaneNet: A Generalized and Scalable Approach for 3D Lane DetectionCode1
3D-LaneNet: End-to-End 3D Multiple Lane DetectionCode1
DB3D-L: Depth-aware BEV Feature Transformation for Accurate 3D Lane Detection—0
GLane3D : Detecting Lanes with Graph of 3D Keypoints—0
Rethinking Lanes and Points in Complex Scenarios for Monocular 3D Lane Detection—0
GLane3D: Detecting Lanes with Graph of 3D Keypoints—0
TopoBDA: Towards Bezier Deformable Attention for Road Topology Understanding—0
TopoMaskV2: Enhanced Instance-Mask-Based Formulation for the Road Topology Problem—0
HeightLane: BEV Heightmap guided 3D Lane Detection—0
Flexible 3D Lane Detection by Hierarchical Shape MatchingFlexible 3D Lane Detection by Hierarchical Shape MatchingCode0
LaneCPP: Continuous 3D Lane Detection using Physical Priors—0
BezierFormer: A Unified Architecture for 2D and 3D Lane Detection—0
Monocular 3D lane detection for Autonomous Driving: Recent Achievements, Challenges, and Outlooks—0
PVALane: Prior-Guided 3D Lane Detection with View-Agnostic Feature Alignment—0
SparseFusion: Efficient Sparse Multi-Modal Fusion Framework for Long-Range 3D Perception—0
LanePtrNet: Revisiting Lane Detection as Point Voting and Grouping on Curves—0
CurveFormer++: 3D Lane Detection by Curve Propagation with Temporal Curve Queries and Attention—0
3D Lane Detection from Front or Surround-View using Joint-Modeling & Matching—0
Advancements in 3D Lane Detection Using LiDAR Point Clouds: From Data Collection to Model DevelopmentCode0
Decoupling the Curve Modeling and Pavement Regression for Lane Detection—0
GroupLane: End-to-End 3D Lane Detection with Channel-wise Grouping—0
Separated RoadTopoFormer—0
TopoMask: Instance-Mask-Based Formulation for the Road Topology Problem via Transformer-Based Architecture—0
An Efficient Transformer for Simultaneous Learning of BEV and Lane Representations in 3D Lane Detection—0
BEV-LaneDet: An Efficient 3D Lane Detection Based on Virtual Camera via Key-PointsCode0
Sparse Point Guided 3D Lane Detection—0
BEV-LaneDet: a Simple and Effective 3D Lane Detection BaselineCode0
CurveFormer: 3D Lane Detection by Curve Propagation with Curve Queries and Attention—0
M^2-3DLaneNet: Exploring Multi-Modal 3D Lane Detection—0
3DLaneNAS: Neural Architecture Search for Accurate and Light-Weight 3D Lane DetectionCode0
Reconstruct from BEV: A 3D Lane Detection Approach based on Geometry Structure Prior—0
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