PandaSet is a public large-scale dataset for autonomous driving provided by Hesai & Scale. It enables researchers to study challenging urban driving situations using the full sensor suit of a real self-driving car.
The block is used to append all the algorithm's predictions before/after the preprocessing process to be evaluated or submitted later. It saves the results as a json file with the same format of the nuScenes Challenges. It works for the detection/tracking evaluation. It will discard the boxes with no lidar and radar points.