SGNet on custom data

[ScorcaF]

Hello, I would like to use the deterministic framework on datasets other than the default ones (JAAD, PIE, ETH, UCY).

The dataset at my disposal is a CSV with the following features: ['Position_X (m)', 'Position_Y (m)' 'Velocity_X (m/s)', 'Velocity_Y (m/s)', 'Acceleration_X (m/s^2)', 'Acceleration_Y (g)', 'Yaw Angle (rad)', 'Yaw Rate (rad/s)', 'Lateral Offset Left (m)', 'Lateral Offset Right (m)', 'Curvature Left (1)', 'Curvature Right (1)', 'Curvature Derivative Left (1)', 'Curvature Derivative Right (1)', 'Heading Angle Left (rad)']

I was wondering if you had any hints on how to process this data in a way compatible with the SGNet.

At the moment I am trying to recreate a structure similar to the ETH-processed dataset: (input_x, input_x_st, target_y, target_y_st, first_history_index, scene_name, timestep) My intuition is that recreating (input_x, input_x_st, target_y) and maybe modifying the input layers of the SGNet, it should work. However, I cannot understand what "input_x_st" is, if you had an insight into this structure it could be useful.

In general, any suggestion, also not related to this approach, will be really appreciated. Thank you

[zehranrgi]

Hi, How did you do this?