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Vehicle Path Prediction on NGSIM
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0.15
RMSE (1s)
Pishgu
0.1308
0.2604
0.39
0.5196
Oct 14, 2022
RMSE (1s)
RMSE (2s)
RMSE (3s)
RMSE (4s)
RMSE (5s)
ADE (m)
FDE (m)
Updated 4d ago
Evaluation Results
Method
Method
Links
RMSE (1s)
RMSE (2s)
RMSE (3s)
RMSE (4s)
RMSE (5s)
ADE (m)
FDE (m)
Pishgu
Params (K)=132
2022.10
0.15
0.46
0.82
1.25
1.74
0.88
1.96
STA-LSTM
Params (K)=124
2022.10
0.37
0.98
1.71
2.63
3.78
1.89
3.16
GRIP++
2022.10
0.38
0.89
1.45
2.14
2.94
1.61
-
GSTCN
Params (K)=49.8
2022.10
0.44
0.83
1.33
2.01
2.98
1.52
-
DeepTrack
Params (K)=109
2022.10
0.47
1.08
1.83
2.75
3.89
2.01
3.25
Pip
2022.10
0.55
1.18
1.94
2.88
4.04
2.18
-
CS-LSTM
Params (K)=191
2022.10
0.63
1.27
2.09
3.1
4.37
2.29
3.34
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