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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 4150 of 54 papers

TitleStatusHype
3DLaneNAS: Neural Architecture Search for Accurate and Light-Weight 3D Lane DetectionCode0
MapTR: Structured Modeling and Learning for Online Vectorized HD Map ConstructionCode3
Reconstruct from BEV: A 3D Lane Detection Approach based on Geometry Structure Prior0
Reconstruct from Top View: A 3D Lane Detection Approach based on Geometry Structure Prior0
0/1 Deep Neural Networks via Block Coordinate Descent0
VectorMapNet: End-to-end Vectorized HD Map LearningCode2
PETRv2: A Unified Framework for 3D Perception from Multi-Camera ImagesCode3
ONCE-3DLanes: Building Monocular 3D Lane DetectionCode2
PersFormer: 3D Lane Detection via Perspective Transformer and the OpenLane BenchmarkCode2
Learning to Predict 3D Lane Shape and Camera Pose from a Single Image via Geometry ConstraintsCode1
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