Abbas Sadat, Raquel Urtasun. MP3: A Unified Model to Map, Perceive, Predict and Plan. In CVPR, 2021. 2. Ming Liang, Bin Yang, Wenyuan Zeng, Yun Chen, Rui Hu, Sergio Casas, Raquel Urtasun. PnPNet: End-to-End Perception and Prediction with Tracking in the Loop. In CVPR, 2020. 3. Zhiqi Li, Wenhai Wang, Hongyang Li, Enze Xie, Chonghao Sima, Tong Lu, Qiao Yu, Jifeng Dai. BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers. In ECCV, 2022. 4. Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, and Sergey Zagoruyko. End-to-End Object Detection with Transformers. In ECCV, 2020. 5. Fangao Zeng, Bin Dong, Yuang Zhang, Tiancai Wang, Xiangyu Zhang, Yichen Wei. MOTR: End-to-End Multiple-Object Tracking with Transformer. In ECCV, 2022. 6. Zhiqi Li, Wenhai Wang, Enze Xie, Zhiding Yu, Anima Anandkumar, Jose M. Alvarez, Ping Luo, Tong Lu. Panoptic SegFormer: Delving Deeper into Panoptic Segmentation with Transformers. In CVPR, 2022. 7. Yuning Chai, Benjamin Sapp, Mayank Bansal, Dragomir Anguelov. MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction. In CoRL, 2019. 8. Balakrishnan Varadarajan, Ahmed Hefny, Avikalp Srivastava, Khaled S. Refaat, Nigamaa Nayakanti, Andre Cornman, Kan Chen, Bertrand Douillard, Chi Pang Lam, Dragomir Anguelov, Benjamin Sapp. MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction. In ICRA, 2022. 9. Xizhou Zhu, Weijie Su, Lewei Lu, Bin Li, Xiaogang Wang, and Jifeng Dai. Deformable detr: Deformable transformers for end-to-end object detection. In ICLR, 2020. 参考⽂献リスト