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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 31–40 of 54 papers

TitleStatusHype
TopoMaskV2: Enhanced Instance-Mask-Based Formulation for the Road Topology Problem—0
3D Lane Detection from Front or Surround-View using Joint-Modeling & Matching—0
PVALane: Prior-Guided 3D Lane Detection with View-Agnostic Feature Alignment—0
Reconstruct from BEV: A 3D Lane Detection Approach based on Geometry Structure Prior—0
Reconstruct from Top View: A 3D Lane Detection Approach based on Geometry Structure Prior—0
Rethinking Lanes and Points in Complex Scenarios for Monocular 3D Lane Detection—0
Semi-Local 3D Lane Detection and Uncertainty Estimation—0
0/1 Deep Neural Networks via Block Coordinate Descent—0
An Efficient Transformer for Simultaneous Learning of BEV and Lane Representations in 3D Lane Detection—0
BezierFormer: A Unified Architecture for 2D and 3D Lane Detection—0
Show:102550
← PrevPage 4 of 6Next →

No leaderboard results yet.