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Lane Detection on TuSimple (test)

98.22AccuracyUNet_ConvLSTM
96.264896.772497.2897.7876Feb 15, 2018Jun 15, 2019Oct 12, 2020Feb 9, 2022Jun 9, 2023Oct 6, 2024Feb 3, 2026

Evaluation results

MethodLinks
UNet_ConvLSTMMACs (G)=69, Params (M)=51.12026.0298.22————90.4———0.8570.958
STFC_Att-UNet_LSTMMACs (G)=44.9, Params (M)=13.52026.0298.2————91.7———0.8860.95
ST_Att-UNet_LSTMMACs (G)=44.8, Params (M)=13.52026.0298.14————90.2———0.8810.925
Tem_Att-UNet_LSTMMACs (G)=44.7, Params (M)=13.52026.0298.05————89.9———0.8760.923
UNet_DoubleConvGRUParams (M)=13.42026.0298.04————91.2———0.8750.953
SegNet_ConvLSTMMACs (G)=217, Params (M)=67.22026.0297.96————90.1———0.8520.964
FOLOLane2021.0596.920.04470.0228————————
FOLOLaneBackbone=ERFNet2022.0396.920.04470.0228——96.59—————
FOLOLane-ERFFPS=402022.0496.920.04470.0228————————
leonardoli2018.0296.90.04420.0197————————
Line-CNNFPS=30, Requires Post-Processing=true2020.0496.870.04420.0197————————
Line-CNNSource-code availability=unavailable, FPS=302020.1096.87—0.0197——96.790.0442————
Line-CNNFPS=30, Post-processing=false2020.1196.870.04420.0197————————
CLRNetBackbone=ResNet342022.0396.870.02270.0208——97.82—————
LineCNNFPS=302022.0496.870.04420.0197——96.79—————
LineCNNFPS=30.02021.0596.87————96.79—4.421.97——
CLRNetBackbone=ResNet34, RT(ms)=4.92024.0596.870.02270.0208——97.82—————
CLRNetBackbone=ResNet182022.0396.840.02280.0192——97.89—————
CLRNetBackbone=ResNet18, RT(ms)=3.72024.0596.840.02280.0192——97.89—————
CLRNetBackbone=ResNet1012022.0396.830.02370.0238——97.62—————
CLRNetBackbone=ResNet-34, CDO optimization=true2026.0196.83——————2.212.08——
RESABackbone=ResNet-342020.0896.820.03630.0248————————
R18-RESABackbone=ResNet-182022.0396.823.952.83————————
RESABackbone=ResNet342022.0396.820.03630.0248——96.93—————
RESA2022.0396.820.03630.0248————————
CLRKDNetBackbone=ResNet18, RT(ms)=2.42024.0596.80.02430.0192——97.78—————
CLRNetBackbone=ResNet-34, CDO optimization=false2026.0196.8——————2.182.08——
CANETVariant=L2023.0496.76————97.77—1.922.53——
PINet(4H)2021.0596.750.0310.025————————
PINet2021.0396.750.0310.025——97.2—————
XR34-OursBackbone=ResNet-342022.0396.712.823.24————————
PINetFPS=30, Parameters (M)=4.39, Post-processing=true2020.1196.70.02940.0263————————
RESABackbone=ResNet-182020.0896.70.03950.0283————————
PINet2022.0396.72.942.63————————
R34-RESABackbone=ResNet-342022.0396.73.962.48————————
PINet2021.0596.7————97.21—2.942.63——
CANETVariant=M2023.0496.66————97.44—2.322.79——
ENet-SADBackbone=ENet, Methodology=Self Attention Distillation2019.0896.640.06020.0205————————
ENet-SADFPS=75, Requires Post-Processing=false2020.0496.640.06020.0205————————
SADRuntime(ms)=13.4, Multiple=10.0x2020.0496.64——————————
ENet-SADSource-code availability=available, FPS=752020.1096.64—0.0205——95.920.0602————
ENet-SADFPS=75, Parameters (M)=0.98, Post-processing=true2020.1196.640.06020.0205————————
ENet-SADNetwork=ENet-SAD2020.0896.640.06020.0205————————
ENet-SAD2021.0596.640.06020.0205————————
ENet-SADFPS=752021.0596.64——————————
ENet-SADRuntime (ms)=13.42021.0296.640.06020.0205————————
ENet-SAD2022.0396.646.022.05————————
SAD2022.0396.640.06020.0205————————
ENet-SADFPS=752022.0496.640.06020.0205——95.92—————
ENet-SADFPS=75.02021.0596.64————95.92—6.022.05——
ENet-SAD2021.0396.640.06020.0205——95.92—————
XR18-OursBackbone=ResNet-182022.0396.592.833.26————————
Ours (SE + FG + BS + Push)Components=Spatial Embedding + Foreground Loss + Bandwidth Saturation + Inter-cluster Push, Image size=1280x720, Hardware=NVIDIA V100 and Xeon Silver 41142020.0896.580.0540.01776.643.2——————
CANETVariant=S2023.0496.56————97.51—2.292.68——
CondLaneNetBackbone=ResNet1012022.0396.540.02010.035——97.24—————
CondLaneNet-LSize=Large, FPS=58, GFLOPS=44.82021.0596.54————97.24—2.013.5——
CondLaneNetVariant=L2023.0496.54————97.24—2.013.5——
XingangPanExt. data=yes2018.0396.530.06170.018————————
SCNN2019.0596.530.06170.018————————
SCNNBackbone=SCNN2019.0896.530.06170.018————————
SCNN2020.0596.530.06170.018————————
SCNNFPS=7, Requires Post-Processing=true2020.0496.530.06170.018————————
SCNNRuntime(ms)=133.5, Multiple=1.0x2020.0496.53——————————
SCNNSource-code availability=available, FPS=7.52020.1096.53—0.018——95.970.0617————
SCNNFPS=7, Parameters (M)=20.72, Post-processing=true2020.1196.530.06170.018————————
SCNNNetwork=SCNN2020.0896.530.06170.018————————
SCNN2021.0596.530.06170.018————————
SCNNFPS=82021.0596.53——————————
SCNNRuntime (ms)=133.52021.0296.530.06170.018————————
SCNN2022.0396.536.171.8————————
SCNNBackbone=VGG162022.0396.530.06170.018——95.97—————
SCNN2022.0396.530.06170.018————————
SCNNFPS=7.52022.0496.530.06170.018——95.97—————
SCNNFPS=7.52021.0596.53————95.97—6.171.8——
SCNN2023.0496.53————95.97—6.171.8——
SCNNBackbone=VGG16, RT(ms)=202024.0596.530.06170.018——95.97—————
SCNN2021.0396.530.06170.018——96.53—————
XingangPan2018.0296.50.06170.018————————
aslarry2018.0296.50.08510.0269————————
Learning to ClusterExt. data=no2018.0396.50.08510.0269————————
FCN-Instance2020.0596.50.08510.0269————————
GANet-LFPS=632022.0496.440.02630.0247——97.45—————
Baseline (Push + Pull)Post-processing=DBSCAN, Image size=1280x720, Hardware=NVIDIA V100 and Xeon Silver 41142020.0896.420.06540.01956.62498——————
LaneNet + H-NetInput resolution=512x256, Lane fitting=3rd-order polynomial, Embedding dimension=42018.0296.40.0780.0244————————
DavyNevenExt. data=N/A2018.0396.40.23650.0276————————
LaneNet(+H-Net)2021.0596.40.0780.0244————————
EL-GAN2019.0596.390.04120.0336————————
EL-GANBackbone=EL-GAN2019.0896.390.04120.0336————————
EL-GAN2020.0596.390.04120.0336————————
EL-GANRuntime(ms)=>100, Multiple=<1.3x2020.0496.39——————————
EL-GAN2021.0596.390.04120.0336————————
EL-GAN2021.0296.390.04120.0336————————
LaneNet2019.0596.380.0780.0244————————
LaneNetBackbone=LaneNet2019.0896.380.0780.0244————————
LaneNet2020.0596.380.0780.0244————————
LaneNetRuntime(ms)=19.0, Multiple=7.0x2020.0496.38——————————
LaneNetRuntime (ms)=19.02021.0296.380.0780.0244————————
LaneNet2022.0396.380.0780.0244————————
LaneNet2021.0396.380.0780.0244——94.8—————
PointLaneNetSource-code availability=unavailable, FPS=712020.1096.34—0.0518——95.070.0467————