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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 2130 of 54 papers

TitleStatusHype
CurveFormer++: 3D Lane Detection by Curve Propagation with Temporal Curve Queries and Attention0
3D Lane Detection from Front or Surround-View using Joint-Modeling & Matching0
ScalableMap: Scalable Map Learning for Online Long-Range Vectorized HD Map ConstructionCode1
TopoMLP: A Simple yet Strong Pipeline for Driving Topology ReasoningCode2
Advancements in 3D Lane Detection Using LiDAR Point Clouds: From Data Collection to Model DevelopmentCode0
Decoupling the Curve Modeling and Pavement Regression for Lane Detection0
LATR: 3D Lane Detection from Monocular Images with TransformerCode2
GroupLane: End-to-End 3D Lane Detection with Channel-wise Grouping0
Separated RoadTopoFormer0
An Efficient Transformer for Simultaneous Learning of BEV and Lane Representations in 3D Lane Detection0
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