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Two-stage Vehicle Trajectory Prediction Method Based on Goal and Multi-feature Fusion

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Two-stage Vehicle Trajectory Prediction Method Based on Goal and Multi-feature Fusion(TGMF)

Running

python train.py --name TGMF --batch_size 64 --pretrain_epochs 15 --train_set ./datasets/NGSIM/train.mat --val_set ./datasets/NGSIM/val.mat --order 2

python evaluate.py --name TGMF --batch_size 64 --test_set ./datasets/NGSIM/test.mat --order 2

Documentation

  • model.py : It contains the concrete details of the proposed TGMF architecture.
  • train.py : It contains the detailed approach for training TGMF model.
  • evaluate.py : It contains the approach for evaluating a trained model.
  • minnedata.py : It contains the customized dataset class for handling and batching trajectory data
  • utils.py : It contains the loss calculation functions and some other helper functions.

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Two-stage Vehicle Trajectory Prediction Method Based on Goal and Multi-feature Fusion

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