3D Lane Detection On Openlane

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Performance results of various models on this benchmark

								Paper Title
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

0 of 19 row(s) selected.

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

								Paper Title
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