Spatial attention

vehicle trajectory prediction

Enviorment requirement

python 3.7.3

pytorch 1.1.0 --gpu

sklearn 0.20.3

pynvml 8.0.1

---

code in Enocder-Decoder Net folder

main.py

after run main.py, you will get a output document like slurm xxxx.out

please put the data in the same fold as main.py

lane attention.py: code for lane-attention

context attention.py: code for context-attention

soft attention.py: code for soft-attention

baseline.py: code for the base structure without attention

Supplementary beam search program: main_supplement_beam_search.py

Supplementary social polling program main_scocial_pooling.py

---

datasets

1. driving sequence data: 4/6track_input_c.npy(the first 3 seconds of all surrounding 9 vehicles), 4/6position_output.npy(the last 5 seconds of target car position)

2. data_split.py is for spliting origin data into train,validation,test datasets

---

result show

rmse_compare.py

Original work attribute to:

https://github.com/Jie26/Spatial-attention/