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3D Lane Detection
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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.
<span style="color:grey; opacity: 0.6">( Image credit: OpenLane-V2 )</span>
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
DB3D-L: Depth-aware BEV Feature Transformation for Accurate 3D Lane Detection
GLane3D : Detecting Lanes with Graph of 3D Keypoints
Rethinking Lanes and Points in Complex Scenarios for Monocular 3D Lane Detection
TopoBDA: Towards Bezier Deformable Attention for Road Topology Understanding
Anchor3DLane++: 3D Lane Detection via Sample-Adaptive Sparse 3D Anchor Regression
Monocular Lane Detection Based on Deep Learning: A Survey
TopoMaskV2: Enhanced Instance-Mask-Based Formulation for the Road Topology Problem
HeightLane: BEV Heightmap guided 3D Lane Detection
Flexible 3D Lane Detection by Hierarchical Shape MatchingFlexible 3D Lane Detection by Hierarchical Shape Matching
RepVF: A Unified Vector Fields Representation for Multi-task 3D Perception
DV-3DLane: End-to-end Multi-modal 3D Lane Detection with Dual-view Representation
LaneCPP: Continuous 3D Lane Detection using Physical Priors
Enhancing 3D Lane Detection and Topology Reasoning with 2D Lane Priors
BezierFormer: A Unified Architecture for 2D and 3D Lane Detection
Monocular 3D lane detection for Autonomous Driving: Recent Achievements, Challenges, and Outlooks
SparseFusion: Efficient Sparse Multi-Modal Fusion Framework for Long-Range 3D Perception
LanePtrNet: Revisiting Lane Detection as Point Voting and Grouping on Curves
CurveFormer++: 3D Lane Detection by Curve Propagation with Temporal Curve Queries and Attention
3D Lane Detection from Front or Surround-View using Joint-Modeling & Matching
ScalableMap: Scalable Map Learning for Online Long-Range Vectorized HD Map Construction
TopoMLP: A Simple yet Strong Pipeline for Driving Topology Reasoning
Advancements in 3D Lane Detection Using LiDAR Point Clouds: From Data Collection to Model Development
Decoupling the Curve Modeling and Pavement Regression for Lane Detection
LATR: 3D Lane Detection from Monocular Images with Transformer
GroupLane: End-to-End 3D Lane Detection with Channel-wise Grouping
Separated RoadTopoFormer
An Efficient Transformer for Simultaneous Learning of BEV and Lane Representations in 3D Lane Detection
TopoMask: Instance-Mask-Based Formulation for the Road Topology Problem via Transformer-Based Architecture
OpenLane-V2: A Topology Reasoning Benchmark for Unified 3D HD Mapping
Graph-based Topology Reasoning for Driving Scenes
Anchor3DLane: Learning to Regress 3D Anchors for Monocular 3D Lane Detection
BEV-LaneDet: a Simple and Effective 3D Lane Detection Baseline
WS-3D-Lane: Weakly Supervised 3D Lane Detection With 2D Lane Labels
CurveFormer: 3D Lane Detection by Curve Propagation with Curve Queries and Attention
M$^2$-3DLaneNet: Exploring Multi-Modal 3D Lane Detection
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