Gameformer: Game-theoretic modeling and learning of transformer-based interactive prediction and planning for autonomous driving

Z Huang, H Liu, C Lv - Proceedings of the IEEE/CVF …, 2023 - openaccess.thecvf.com
Autonomous vehicles operating in complex real-world environments require accurate
predictions of interactive behaviors between traffic participants. This paper tackles the …
被引用次数：40 相关文章

GameFormer: Game-theoretic Modeling and Learning of Transformer-based Interactive Prediction and Planning for Autonomous Driving

Z Huang, H Liu, C Lv - arXiv preprint arXiv:2303.05760, 2023 - arxiv.org
Autonomous vehicles operating in complex real-world environments require accurate
predictions of interactive behaviors between traffic participants. This paper tackles the …

GameFormer: Game-theoretic Modeling and Learning of Transformer-based Interactive Prediction and Planning for Autonomous Driving

Z Huang, H Liu, C Lv - 2023 IEEE/CVF International Conference on …, 2023 - computer.org
Autonomous vehicles operating in complex real-world environments require accurate
predictions of interactive behaviors between traffic participants. This paper tackles the …
[PDF] researchgate.net

[PDF][PDF] GameFormer: Game-theoretic Modeling and Learning of Transformer-based Interactive Prediction and Planning for Autonomous Driving

Z Huang, H Liu, C Lv - researchgate.net
Autonomous vehicles operating in complex real-world environments require accurate
predictions of interactive behaviors between traffic participants. While existing works focus …

GameFormer: Game-theoretic Modeling and Learning of Transformer-based Interactive Prediction and Planning for Autonomous Driving

Z Huang, H Liu, C Lv - 2023 IEEE/CVF International …, 2023 - ieeexplore.ieee.org
Autonomous vehicles operating in complex real-world environments require accurate
predictions of interactive behaviors between traffic participants. This paper tackles the …

GameFormer: Game-theoretic Modeling and Learning of Transformer-based Interactive Prediction and Planning for Autonomous Driving

Z Huang, H Liu, C Lv - arXiv e-prints, 2023 - ui.adsabs.harvard.edu
Autonomous vehicles operating in complex real-world environments require accurate
predictions of interactive behaviors between traffic participants. This paper tackles the …