DiffVLA++: Bridging Cognitive Reasoning and End-to-End Driving through Metric-Guided Alignment

——, “Sgdr: Stochastic gradient descent with warm restarts,” arXiv preprint arXiv:1608.03983 , 2016

Original

2016

Earlier work this paper cites.

I. Loshchilov and F. Hutter, “Decoupled weight decay regularization,” arXiv preprint arXiv:1711.05101 , 2017

Original

2017

Earlier work this paper cites.

Y. Lee and J. Park, “Centermask: Real-time anchor-free instance segmentation,” in Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , 2020, pp. 13 906–13 915

2020

Earlier work this paper cites.

S. Hu, L. Chen, P. Wu, H. Li, J. Yan, and D. Tao, “St-p3: End-to-end vision-based autonomous driving via spatial-temporal feature learning,” in European Conference on Computer Vision . Springer, 2022, pp. 533–549

2022

Earlier work this paper cites.

K. Chitta, A. Prakash, B. Jaeger, Z. Yu, K. Renz, and A. Geiger, “Transfuser: Imitation with transformer-based sensor fusion for autonomous driving,” IEEE transactions on pattern analysis and machine intelligence , vol. 45, no. 11, pp. 12 878–12 895, 2022

2022

Earlier work this paper cites.

B. Jiang, S. Chen, Q. Xu, B. Liao, J. Chen, H. Zhou, Q. Zhang, W. Liu, C. Huang, and X. Wang, “Vad: Vectorized scene representation for efficient autonomous driving,” in Proceedings of the IEEE/CVF International Conference on Computer Vision , 2023, pp. 8340–8350

2023

Earlier work this paper cites.

W. Tong, C. Sima, T. Wang, L. Chen, S. Wu, H. Deng, Y. Gu, L. Lu, P. Luo, D. Lin et al. , “Scene as occupancy,” in Proceedings of the IEEE/CVF International Conference on Computer Vision , 2023, pp. 8406–8415

2023

Earlier work this paper cites.

Y. Hu, J. Yang, L. Chen, K. Li, C. Sima, X. Zhu, S. Chai, S. Du, T. Lin, W. Wang et al. , “Planning-oriented autonomous driving,” in Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , 2023, pp. 17 853–17 862

2023

Earlier work this paper cites.

W. Wang, J. Xie, C. Hu, H. Zou, J. Fan, W. Tong, Y. Wen, S. Wu, H. Deng, Z. Li et al. , “Drivemlm: Aligning multi-modal large language models with behavioral planning states for autonomous driving,” arXiv preprint arXiv:2312.09245 , 2023

Original

2023

Earlier work this paper cites.

W. Sun, X. Lin, Y. Shi, C. Zhang, H. Wu, and S. Zheng, “Sparsedrive: End-to-end autonomous driving via sparse scene representation,” arXiv preprint arXiv:2405.19620 , 2024

Original

2024

Earlier work this paper cites.

X. Weng, B. Ivanovic, Y. Wang, Y. Wang, and M. Pavone, “Para-drive: Parallelized architecture for real-time autonomous driving,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , 2024, pp. 15 449–15 458

2024

Earlier work this paper cites.

Z. Li, K. Li, S. Wang, S. Lan, Z. Yu, Y. Ji, Z. Li, Z. Zhu, J. Kautz, Z. Wu et al. , “Hydra-mdp: End-to-end multimodal planning with multi-target hydra-distillation,” arXiv preprint arXiv:2406.06978 , 2024

Original

2024

Cited alongside, same era.

W. Zheng, R. Song, X. Guo, C. Zhang, and L. Chen, “Genad: Generative end-to-end autonomous driving,” in European Conference on Computer Vision . Springer, 2024, pp. 87–104

2024

Cited alongside, same era.

D. Fu, X. Li, L. Wen, M. Dou, P. Cai, B. Shi, and Y. Qiao, “Drive like a human: Rethinking autonomous driving with large language models,” in 2024 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW) . IEEE, 2024, pp. 910–919

2024

Cited alongside, same era.

X. Zhou, M. Liu, E. Yurtsever, B. L. Zagar, W. Zimmer, H. Cao, and A. C. Knoll, “Vision language models in autonomous driving: A survey and outlook,” IEEE Transactions on Intelligent Vehicles , 2024

2024

Cited alongside, same era.

B. Liao, S. Chen, H. Yin, B. Jiang, C. Wang, S. Yan, X. Zhang, X. Li, Y. Zhang, Q. Zhang et al. , “Diffusiondrive: Truncated diffusion model for end-to-end autonomous driving,” in Proceedings of the Computer Vision and Pattern Recognition Conference , 2025, pp. 12 037–12 047

2025

Closest in time.

Z. Xing, X. Zhang, Y. Hu, B. Jiang, T. He, Q. Zhang, X. Long, and W. Yin, “Goalflow: Goal-driven flow matching for multimodal trajectories generation in end-to-end autonomous driving,” in Proceedings of the Computer Vision and Pattern Recognition Conference , 2025, pp. 1602–1611

2025

Closest in time.

K. Li, Z. Li, S. Lan, Y. Xie, Z. Zhang, J. Liu, Z. Wu, Z. Yu, and J. M. Alvarez, “Hydra-mdp++: Advancing end-to-end driving via expert-guided hydra-distillation,” arXiv preprint arXiv:2503.12820 , 2025

Original

2025

Closest in time.

A. Jiang, Y. Gao, Z. Sun, Y. Wang, J. Wang, J. Chai, Q. Cao, Y. Heng, H. Jiang, Y. Dong et al. , “Diffvla: Vision-language guided diffusion planning for autonomous driving,” arXiv preprint arXiv:2505.19381 , 2025