HyperAI超神经

Trajectory Prediction On Nuscenes

评估指标

MinADE_10
MinADE_5
MinFDE_1
MissRateTopK_2_10
MissRateTopK_2_5
OffRoadRate

评测结果

各个模型在此基准测试上的表现结果

比较表格
模型名称MinADE_10MinADE_5MinFDE_1MissRateTopK_2_10MissRateTopK_2_5OffRoadRate
模型 11.762.369.820.60.670.08
模型 21.031.378.190.440.620.02
multimodal-trajectory-prediction-conditioned0.941.277.170.340.520.03
模型 42.02.2815.950.710.780.31
模型 51.662.3810.730.530.670.13
模型 60.991.367.870.360.550.03
模型 72.132.7411.860.750.80.5
模型 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
模型 111.041.828.230.40.550.03
模型 121.241.818.570.460.590.07
gohome-graph-oriented-heatmap-output1.151.426.990.470.570.04
模型 141.41.869.250.520.670.04
模型 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
模型 181.682.239.540.560.690.12
模型 191.922.6211.360.640.760.13
模型 201.121.478.370.460.530.09
模型 211.921.929.290.780.780.1
模型 221.051.247.580.460.530.06
context-aware-scene-prediction-network1.011.287.020.320.530.01
模型 241.081.388.10.470.620.02
thomas-trajectory-heatmap-output-with-learned-11.041.336.710.420.550.03
模型 261.291.638.860.60.690.08
模型 271.672.089.970.660.750.34
semanticformer-holistic-and-semantic-traffic1.141.146.270.500.500.03
模型 293.73.79.090.880.880.12
模型 301.671.678.430.660.660.07
unitraj-a-unified-framework-for-scalable0.840.965.400.410.430.07
模型 321.11.697.910.420.530.11
trajectory-forecasts-in-unknown-environments1.161.4510.50.460.640.03
模型 344.464.469.520.910.910.07