Share your thoughts, 1 month free Claude Pro on us
See more
Home
/
Benchmarks
Vehicle Path Prediction on NGSIM
Loading...
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 1mo 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
Feedback
Search any
task
Search any
task
