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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 21–30 of 54 papers

TitleStatusHype
Anchor3DLane: Learning to Regress 3D Anchors for Monocular 3D Lane DetectionCode1
GroupLane: End-to-End 3D Lane Detection with Channel-wise Grouping—0
HeightLane: BEV Heightmap guided 3D Lane Detection—0
LaneCPP: Continuous 3D Lane Detection using Physical Priors—0
LanePtrNet: Revisiting Lane Detection as Point Voting and Grouping on Curves—0
Sparse Point Guided 3D Lane Detection—0
M^2-3DLaneNet: Exploring Multi-Modal 3D Lane Detection—0
Monocular 3D lane detection for Autonomous Driving: Recent Achievements, Challenges, and Outlooks—0
TopoBDA: Towards Bezier Deformable Attention for Road Topology Understanding—0
TopoMask: Instance-Mask-Based Formulation for the Road Topology Problem via Transformer-Based Architecture—0
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