HyperAI

Trajectory Prediction On Nuscenes

Metrics

MinADE_10
MinADE_5
MinFDE_1
MissRateTopK_2_10
MissRateTopK_2_5
OffRoadRate

Results

Performance results of various models on this benchmark

Comparison Table
Model NameMinADE_10MinADE_5MinFDE_1MissRateTopK_2_10MissRateTopK_2_5OffRoadRate
Model 11.762.369.820.60.670.08
Model 21.031.378.190.440.620.02
multimodal-trajectory-prediction-conditioned0.941.277.170.340.520.03
Model 42.02.2815.950.710.780.31
Model 51.662.3810.730.530.670.13
Model 60.991.367.870.360.550.03
Model 72.132.7411.860.750.80.5
Model 84.614.6111.210.910.910.14
trajectron-multi-agent-generative-trajectory1.511.889.520.570.70.25
leveraging-future-relationship-reasoning-for0.881.186.590.300.480.02
Model 111.041.828.230.40.550.03
Model 121.241.818.570.460.590.07
gohome-graph-oriented-heatmap-output1.151.426.990.470.570.04
Model 141.41.869.250.520.670.04
Model 159.722.0615.660.820.860.37
agentformer-agent-aware-transformers-for1.451.86----
caspnet-joint-multi-agent-motion-prediction0.921.166.180.290.500.01
Model 181.682.239.540.560.690.12
Model 191.922.6211.360.640.760.13
Model 201.121.478.370.460.530.09
Model 211.921.929.290.780.780.1
Model 221.051.247.580.460.530.06
context-aware-scene-prediction-network1.011.287.020.320.530.01
Model 241.081.388.10.470.620.02
thomas-trajectory-heatmap-output-with-learned-11.041.336.710.420.550.03
Model 261.291.638.860.60.690.08
Model 271.672.089.970.660.750.34
semanticformer-holistic-and-semantic-traffic1.141.146.270.500.500.03
Model 293.73.79.090.880.880.12
Model 301.671.678.430.660.660.07
unitraj-a-unified-framework-for-scalable0.840.965.400.410.430.07
Model 321.11.697.910.420.530.11
trajectory-forecasts-in-unknown-environments1.161.4510.50.460.640.03
Model 344.464.469.520.910.910.07