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3D Lane Detection On Openlane

Metrics

Curve
Extreme Weather
F1 (all)
Intersection
Merge u0026 Split
Night
Up u0026 Down

Results

Performance results of various models on this benchmark

Model Name
Curve
Extreme Weather
F1 (all)
Intersection
Merge u0026 Split
Night
Up u0026 Down
Paper TitleRepository
Anchor3DLane† (iterative regression)57.252.553.745.451.247.846.7Anchor3DLane: Learning to Regress 3D Anchors for Monocular 3D Lane Detection-
PVALane (Swin-B)67.764.063.453.660.858.656.1PVALane: Prior-Guided 3D Lane Detection with View-Agnostic Feature Alignment-
CurveFormer56.649.750.542.945.449.145.2CurveFormer: 3D Lane Detection by Curve Propagation with Curve Queries and Attention-
PersFormer (version 1.2)58.451.852.942.150.947.447.5PersFormer: 3D Lane Detection via Perspective Transformer and the OpenLane Benchmark-
LATR68.257.161.952.361.555.455.2LATR: 3D Lane Detection from Monocular Images with Transformer-
PETRv2-V∗ (VoVNetV2 with 400 anchor points)--61.2----PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images-
PETRv2-E (EfficientNet)--51.9----PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images-
RFTR (ResNet-50)--61.8----RepVF: A Unified Vector Fields Representation for Multi-task 3D Perception-
3D-LaneNet46.547.544.132.141.741.540.83D-LaneNet: End-to-End 3D Multiple Lane Detection-
PVALane (ResNet-50)67.362.062.753.460.057.254.1PVALane: Prior-Guided 3D Lane Detection with View-Agnostic Feature Alignment-
Anchor3DLane (ResNet-18)56.251.9 53.144.250.547.245.5Anchor3DLane: Learning to Regress 3D Anchors for Monocular 3D Lane Detection-
PETRv2-V (VoVNetV2)--57.8----PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images-
LaneCPP64.456.760.352.058.754.953.6LaneCPP: Continuous 3D Lane Detection using Physical Priors-
M^2-3DLaneNet (Camera + Lidar)60.756.255.543.851.451.653.4M$^2$-3DLaneNet: Exploring Multi-Modal 3D Lane Detection-
PVALane (ResNet-18)65.759.561.252.258.756.552.6PVALane: Prior-Guided 3D Lane Detection with View-Agnostic Feature Alignment-
BEV-LaneDet63.153.458.450.353.753.448.7BEV-LaneDet: a Simple and Effective 3D Lane Detection Baseline-
PersFormer (version 1.1)58.754.050.541.653.150.045.6PersFormer: 3D Lane Detection via Perspective Transformer and the OpenLane Benchmark-
Gen-LaneNet33.528.132.321.431.018.725.4Gen-LaneNet: A Generalized and Scalable Approach for 3D Lane Detection-
Anchor3DLane-T† (multi-frame + iterative regression)58.052.754.345.851.748.747.2Anchor3DLane: Learning to Regress 3D Anchors for Monocular 3D Lane Detection-
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3D Lane Detection On Openlane | SOTA | HyperAI