opendilab / InterFuser

[CoRL 2022] InterFuser: Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformer
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Clarification on Data Collection and Usage #68

Open DeviRajendra opened 1 year ago

DeviRajendra commented 1 year ago

Hello,

I'm currently exploring your research paper and its associated codebase on GitHub. In your paper, you mentioned that you used 8 towns and 21 weathers for training. Each town internally has 1 long, 1 short route, and 1 tiny route. I have a few questions regarding the data used in your experiments to better understand your methodology:

Weather Data: Did you use all 21 weather conditions for training, or did you use a subset of them for specific routes? If you used a subset of weather conditions, could you please specify which weather conditions were used for each town's routes? For example, did you use the first 5 weathers for town 1 routes and the next 5 weathers for town 2 routes?

Route Types: In your training routes folder available on GitHub, there are mentions of long, short, and tiny routes. Did you use all three types of routes for training, or did you focus on specific types? I believe these details will help the community better understand and replicate your experiments. Thank you for your time and assistance in clarifying these points.

Thank you

deepcs233 commented 1 year ago

Hi! Sorry for the late reply

About the Weather Data: we use 0-9 and 15-18 for training, the others for testing. I haven't specified the weather conditions for different towns, which means for all towns we use the same wather conditions in training/testing split.

About the Route Types: we have used all three type of routes for data collection and following training.