SOTAVerified

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 41–50 of 54 papers

TitleStatusHype
3D-LaneNet+: Anchor Free Lane Detection using a Semi-Local Representation—0
CurveFormer++: 3D Lane Detection by Curve Propagation with Temporal Curve Queries and Attention—0
CurveFormer: 3D Lane Detection by Curve Propagation with Curve Queries and Attention—0
DB3D-L: Depth-aware BEV Feature Transformation for Accurate 3D Lane Detection—0
Decoupling the Curve Modeling and Pavement Regression for Lane Detection—0
Separated RoadTopoFormer—0
SparseFusion: Efficient Sparse Multi-Modal Fusion Framework for Long-Range 3D Perception—0
GLane3D : Detecting Lanes with Graph of 3D Keypoints—0
GLane3D: Detecting Lanes with Graph of 3D Keypoints—0
GroupLane: End-to-End 3D Lane Detection with Channel-wise Grouping—0
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