input preprocessing model

[fgqile]

Thank you very much! and Looking forward to receive your answer soon

I noticed that in your paper you mention the NGSIM dataset. the input range of the vehicle is 180 feet, All vehicles observed in the same time frame should be outside this range, how did you deal with it. In Apollo, all vehicles at a time are taken into account, what is the difference between the two?

If the same time frame will be saved as multiple training sequences, will the amount of saved data be too large? Especially in NGSIM because it has a lot of data to process.

[xincoder]

@fgqile Thank you for your interest in our work. As we mentioned in our GRIP paper (section V.A Datasets), we use the data preprocessing code released by Nachiket Deo et al to process the NGSIM dataset. You can access their code at https://github.com/nachiket92/conv-social-pooling. For the NGSIM dataset, we keep using the same data processing scheme as other researchers to make a fair comparison. For the Apollo dataset, we do not use a special rule to filter objects, because the dataset itself has already done such a kind of operation. You can take a look at our code to see the implementation details.

[fgqile]

Thank you very much! I get it.

I will continue to study hard and look forward to further communication with you.

[fgqile]

I am a Chinese. If once you come to China in the future, we can play together.

[YangTongrui0124]

您好，请问您成功使用了NGSIM数据和deo的预处理代码完成了实验吗？能否请教一下.mat文件与main文件的加载处理？