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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 41–50 of 54 papers

TitleStatusHype
Separated RoadTopoFormer—0
SparseFusion: Efficient Sparse Multi-Modal Fusion Framework for Long-Range 3D Perception—0
GLane3D : Detecting Lanes with Graph of 3D Keypoints—0
GLane3D: Detecting Lanes with Graph of 3D Keypoints—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
3D-LaneNet+: Anchor Free Lane Detection using a Semi-Local Representation—0
CurveFormer++: 3D Lane Detection by Curve Propagation with Temporal Curve Queries and Attention—0
3DLaneNAS: Neural Architecture Search for Accurate and Light-Weight 3D Lane DetectionCode0
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