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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 110 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
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