FipTR: A Simple yet Effective Transformer Framework for Future Instance Prediction in Autonomous Driving

arXiv:2404.12867v1 Announce Type: new
Abstract: The future instance prediction from a Bird's Eye View(BEV) perspective is a vital component in autonomous driving, which involves future instance segmentation and instance motion prediction. Existing methods usually rely on a redundant and complex pipeline which requires multiple auxiliary outputs and post-processing procedures. Moreover, estimated errors on each of the auxiliary predictions will lead to degradation of the prediction performance. In this paper, we propose a simple yet effective fully end-to-end framework named Future …

abstract arxiv autonomous autonomous driving bird cs.cv cs.ro driving framework future instance multiple perspective pipeline prediction segmentation simple transformer type view vital