3D Lane Detection on Synthetic 3D Lane Dataset visual variations 1.0 benchmark leaderboard · SOTA2 Research

3D Lane Detection on Synthetic 3D Lane Dataset visual variations 1.0

96.9F-ScoreBEV-LaneDet

Evaluation Results

Method	Links
BEV-LaneDet2022.10		96.9	—	0.027	0.32	0.031	0.256
CurveFormer2022.09		90.8	93	0.125	0.41	0.028	0.254
Reconstruct from Top2022.10		89.9	—	0.06	0.446	0.011	0.235
PersFormer2022.03		89.6	—	0.074	0.43	0.015	0.266
PersFormer2022.09		89.6	—	0.074	0.43	0.015	0.266
PersFormer2022.10		89.6	—	0.074	0.43	0.015	0.266
CLGo2022.03		87.3	—	0.084	0.464	0.045	0.312
CLGo2022.09		87.3	89.2	0.084	0.464	0.045	0.312
CLGO2022.10		87.3	—	0.084	0.464	0.045	0.312
Gen-LaneNet2022.03		86.8	—	0.104	0.544	0.016	0.294
Gen-LaneNet(1/att)2022.10		86.8	—	0.104	0.544	0.016	0.294
3D-LaneNet2022.03		85.4	—	0.118	0.559	0.018	0.29
3D-LaneNet(1/att)2022.10		85.4	—	0.118	0.559	0.018	0.29
Gen-LaneNet2022.03		85.3	—	0.074	0.538	0.015	0.232
Gen-LaneNet2022.09		85.3	87.2	0.074	0.538	0.015	0.232
Gen-LaneNet2022.10		85.3	—	0.074	0.538	0.015	0.232
3D-LaneNet2022.03		72.5	—	0.115	0.601	0.032	0.23
3D-LaneNet2022.09		72.5	74.9	0.115	0.601	0.032	0.23
3D-LaneNet2022.10		72.5	—	0.115	0.601	0.032	0.23
Gen-LaneNet2020.03		0.853	0.872	0.074	0.538	0.015	0.232
3D-LaneNet2020.03		0.725	0.749	0.115	0.601	0.032	0.23