3D Lane Detection on Synthetic 3D Lane Dataset balanced scenes 1.0 benchmark leaderboard · SOTA2 Research

3D Lane Detection on Synthetic 3D Lane Dataset balanced scenes 1.0

98.7F-Score (%)BEV-LaneDet

Evaluation Results

Method	Links
BEV-LaneDet2022.10		98.7	—	0.016	0.242	0.02	0.216	—	—
CurveFormer2022.09		95.8	97.3	0.078	0.326	0.018	0.219	—	—
PersFormer2022.03		92.9	—	0.054	0.356	0.01	0.234	—	—
PersFormer2022.09		92.9	—	0.054	0.356	0.01	0.234	—	—
PersFormer2022.10		92.9	—	0.054	0.356	0.01	0.234	—	—
CLGo2021.12		91.9	94.2	0.061	0.361	0.029	0.25	0.021	0.121
CLGo2022.03		91.9	—	0.061	0.361	0.029	0.25	—	—
CLGo2022.09		91.9	94.2	0.061	0.361	0.029	0.25	—	—
CLGO2022.10		91.9	—	0.061	0.361	0.029	0.25	—	—
Reconstruct from Top2022.10		91.9	—	0.049	0.387	0.008	0.213	—	—
3D-LaneNet2022.03		91	—	0.082	0.439	0.011	0.242	—	—
3D-LaneNet(1/att)2022.10		91	—	0.082	0.439	0.011	0.242	—	—
Gen-LaneNet2022.03		90.3	—	0.08	0.473	0.011	0.247	—	—
Gen-LaneNet(1/att)2022.10		90.3	—	0.08	0.473	0.011	0.247	—	—
Stage 12021.12		88.2	90.3	0.092	0.507	0.038	0.277	0.021	0.121
Gen-LaneNet2021.12		88.1	90.1	0.061	0.496	0.012	0.214	—	—
Gen-LaneNet2022.03		88.1	—	0.061	0.496	0.012	0.214	—	—
Gen-LaneNet2022.09		88.1	90.1	0.061	0.496	0.012	0.214	—	—
Gen-LaneNet2022.10		88.1	—	0.061	0.496	0.012	0.214	—	—
3D-LaneNet2021.12		86.4	89.3	0.068	0.477	0.015	0.202	—	—
3D-LaneNet2022.03		86.4	—	0.068	0.477	0.015	0.202	—	—
3D-LaneNet2022.09		86.4	89.3	0.068	0.477	0.015	0.202	—	—
3D-LaneNet2022.10		86.4	—	0.068	0.477	0.015	0.202	—	—
Gen-LaneNet2020.03		0.881	0.901	0.061	0.496	0.012	0.214	—	—
3D-LaneNet2020.03		0.864	0.893	0.068	0.477	0.015	0.202	—	—