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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
3D-LaneNet: End-to-End 3D Multiple Lane DetectionCode1
Flexible 3D Lane Detection by Hierarchical Shape MatchingFlexible 3D Lane Detection by Hierarchical Shape MatchingCode0
3DLaneNAS: Neural Architecture Search for Accurate and Light-Weight 3D Lane DetectionCode0
Advancements in 3D Lane Detection Using LiDAR Point Clouds: From Data Collection to Model DevelopmentCode0
BEV-LaneDet: An Efficient 3D Lane Detection Based on Virtual Camera via Key-PointsCode0
BEV-LaneDet: a Simple and Effective 3D Lane Detection BaselineCode0
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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