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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

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Showing 31–40 of 54 papers

TitleStatusHype
BezierFormer: A Unified Architecture for 2D and 3D Lane Detection—0
Monocular 3D lane detection for Autonomous Driving: Recent Achievements, Challenges, and Outlooks—0
PVALane: Prior-Guided 3D Lane Detection with View-Agnostic Feature Alignment—0
SparseFusion: Efficient Sparse Multi-Modal Fusion Framework for Long-Range 3D Perception—0
LanePtrNet: Revisiting Lane Detection as Point Voting and Grouping on Curves—0
CurveFormer++: 3D Lane Detection by Curve Propagation with Temporal Curve Queries and Attention—0
3D Lane Detection from Front or Surround-View using Joint-Modeling & Matching—0
Advancements in 3D Lane Detection Using LiDAR Point Clouds: From Data Collection to Model DevelopmentCode0
Decoupling the Curve Modeling and Pavement Regression for Lane Detection—0
GroupLane: End-to-End 3D Lane Detection with Channel-wise Grouping—0
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