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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 1120 of 54 papers

TitleStatusHype
Flexible 3D Lane Detection by Hierarchical Shape MatchingFlexible 3D Lane Detection by Hierarchical Shape MatchingCode0
RepVF: A Unified Vector Fields Representation for Multi-task 3D PerceptionCode1
DV-3DLane: End-to-end Multi-modal 3D Lane Detection with Dual-view RepresentationCode2
LaneCPP: Continuous 3D Lane Detection using Physical Priors0
Enhancing 3D Lane Detection and Topology Reasoning with 2D Lane PriorsCode2
BezierFormer: A Unified Architecture for 2D and 3D Lane Detection0
Monocular 3D lane detection for Autonomous Driving: Recent Achievements, Challenges, and Outlooks0
PVALane: Prior-Guided 3D Lane Detection with View-Agnostic Feature Alignment0
SparseFusion: Efficient Sparse Multi-Modal Fusion Framework for Long-Range 3D Perception0
LanePtrNet: Revisiting Lane Detection as Point Voting and Grouping on Curves0
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