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3D Lane Detection On Openlane

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Results

Performance results of various models on this benchmark

								Paper Title	Repository
LATR	68.2	57.1	61.9	52.3	61.5	55.4	55.2	LATR: 3D Lane Detection from Monocular Images with Transformer
PVALane (Swin-B)	67.7	64.0	63.4	53.6	60.8	58.6	56.1	PVALane: Prior-Guided 3D Lane Detection with View-Agnostic Feature Alignment	-
PVALane (ResNet-50)	67.3	62.0	62.7	53.4	60.0	57.2	54.1	PVALane: Prior-Guided 3D Lane Detection with View-Agnostic Feature Alignment	-
PVALane (ResNet-18)	65.7	59.5	61.2	52.2	58.7	56.5	52.6	PVALane: Prior-Guided 3D Lane Detection with View-Agnostic Feature Alignment	-
LaneCPP	64.4	56.7	60.3	52.0	58.7	54.9	53.6	LaneCPP: Continuous 3D Lane Detection using Physical Priors	-
BEV-LaneDet	63.1	53.4	58.4	50.3	53.7	53.4	48.7	BEV-LaneDet: a Simple and Effective 3D Lane Detection Baseline	-
M^2-3DLaneNet (Camera + Lidar)	60.7	56.2	55.5	43.8	51.4	51.6	53.4	M$^2$-3DLaneNet: Exploring Multi-Modal 3D Lane Detection	-
PersFormer (version 1.1)	58.7	54.0	50.5	41.6	53.1	50.0	45.6	PersFormer: 3D Lane Detection via Perspective Transformer and the OpenLane Benchmark
PersFormer (version 1.2)	58.4	51.8	52.9	42.1	50.9	47.4	47.5	PersFormer: 3D Lane Detection via Perspective Transformer and the OpenLane Benchmark
Anchor3DLane-T† (multi-frame + iterative regression)	58.0	52.7	54.3	45.8	51.7	48.7	47.2	Anchor3DLane: Learning to Regress 3D Anchors for Monocular 3D Lane Detection
Anchor3DLane† (iterative regression)	57.2	52.5	53.7	45.4	51.2	47.8	46.7	Anchor3DLane: Learning to Regress 3D Anchors for Monocular 3D Lane Detection
CurveFormer	56.6	49.7	50.5	42.9	45.4	49.1	45.2	CurveFormer: 3D Lane Detection by Curve Propagation with Curve Queries and Attention	-
Anchor3DLane (ResNet-18)	56.2	51.9	53.1	44.2	50.5	47.2	45.5	Anchor3DLane: Learning to Regress 3D Anchors for Monocular 3D Lane Detection
3D-LaneNet	46.5	47.5	44.1	32.1	41.7	41.5	40.8	3D-LaneNet: End-to-End 3D Multiple Lane Detection
Gen-LaneNet	33.5	28.1	32.3	21.4	31.0	18.7	25.4	Gen-LaneNet: A Generalized and Scalable Approach for 3D Lane Detection
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
PETRv2-V (VoVNetV2)	-	-	57.8	-	-	-	-	PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images

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3D Lane Detection On Openlane | SOTA | HyperAI