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1. prediction_train.zip: Trainning data for trajectory prediction. | ||
Each file is a 1min sequence with 2fps. | ||
Each line in every file contains frame_id, object_id, object_type, position_x, position_y, position_z, object_length, object_width, object_height, heading. | ||
For object_type, 1 for small vehicles, 2 for big vehicles, 3 for pedestrian, 4 for bicyclist and 5 for others. We consider the first two types as one type (vehicles) in this challenge. | ||
Position is in the world coordinate system. We just think the traffic in a 2D plane and ignore its position_z. | ||
The unit for the position and bounding box is meter. | ||
The heading value is the steering radian with respect to the direction of the object. | ||
You do not need to use all the info we provide. The output of your prediction is just the position_x and position_y in the next several seconds. | ||
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2. prediction_test.zip: Testing data for trajectory prediction. | ||
Each line in the prediction_test.txt contains frame_id, object_id, object_type, position_x, position_y. | ||
Each six frames in the prediction_test.txt is a testing sequence. Each sequence is independent. You need read the file carefully. |