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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

Showing 1120 of 54 papers

TitleStatusHype
PersFormer: 3D Lane Detection via Perspective Transformer and the OpenLane BenchmarkCode2
LATR: 3D Lane Detection from Monocular Images with TransformerCode2
Anchor3DLane++: 3D Lane Detection via Sample-Adaptive Sparse 3D Anchor RegressionCode2
ONCE-3DLanes: Building Monocular 3D Lane DetectionCode2
3D-LaneNet: End-to-End 3D Multiple Lane DetectionCode1
RepVF: A Unified Vector Fields Representation for Multi-task 3D PerceptionCode1
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
Anchor3DLane: Learning to Regress 3D Anchors for Monocular 3D Lane DetectionCode1
ScalableMap: Scalable Map Learning for Online Long-Range Vectorized HD Map ConstructionCode1
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