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
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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