Author:
Han Zhengxiao,Yan Zhijie,Li Yang,Li Pengfei,Shi Yifeng,Luo Nairui,Gao Xu,Shi Yongliang,Huang Pengfei,Gong Jiangtao,Zhou Guyue,Chen Yilun,Zhao Hang,Zhao Hao
Publisher
Springer Nature Singapore
Reference14 articles.
1. Ngiam, J., et al.: Scene transformer: a unified architecture for predicting future trajectories of multiple agents. In: International Conference on Learning Representations (2022)
2. Sun, Q., Huang, X., Gu, J., Williams, B.C., Zhao, H.: M2I: from factored marginal trajectory prediction to interactive prediction. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 6543–6552 (2022)
3. Liu, X., Wang, Y., Jiang, K., Zhou, Z., Nam, K., Yin, C.: Interactive trajectory prediction using a driving risk map-integrated deep learning method for surrounding vehicles on highways. IEEE Trans. Intell. Transp. Syst. 23(10), 19076–19087 (2022)
4. Zhang, K., Zhao, L., Dong, C., Wu, L., Zheng, L.: AI-TP: attention-based interaction-aware trajectory prediction for autonomous driving. IEEE Trans. Intell. Veh. 8, 73–83 (2022)
5. Shen, Z., et al.: Towards out-of-distribution generalization: a survey. arXiv preprint arXiv:2108.13624 (2021)