END-TO-END TRANSFORMER-BASED BOUNDING BOX TRACKING

原文（中国語）

A perception system may be used to generate bounding boxes for objects in a vehicle scene. The perception system may receive images and feature maps corresponding to the received images. The perception system may link bounding boxes to bounding boxes from a previous time steps and identify false positive bounding boxes. The system can link 3D boxes of the same object from the different frames, by taking the 3D boxes in a time step as input. The system can sue transformer self-attention to exchange information between 3D boxes to learn global-informative box embeddings. Similarity between these learned embeddings can be used to link the boxes of the same object.