ViLaD: A Large Vision Language Diffusion Framework for End-to-End Autonomous Driving
Fuente:
arXiv
Saved in:
| Main Authors: | Cui, Can, Zhou, Yupeng, Peng, Juntong, Park, Sung-Yeon, Yang, Zichong, Sankaranarayanan, Prashanth, Zhang, Jiaru, Zhang, Ruqi, Wang, Ziran |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Efficient and Explainable End-to-End Autonomous Driving via Masked Vision-Language-Action Diffusion
by: Zhang, Jiaru, et al.
Published: (2026)
by: Zhang, Jiaru, et al.
Published: (2026)
LLM4AD: Large Language Models for Autonomous Driving -- Concept, Review, Benchmark, Experiments, and Future Trends
by: Cui, Can, et al.
Published: (2024)
by: Cui, Can, et al.
Published: (2024)
A Hierarchical Test Platform for Vision Language Model (VLM)-Integrated Real-World Autonomous Driving
by: Zhou, Yupeng, et al.
Published: (2025)
by: Zhou, Yupeng, et al.
Published: (2025)
On-Board Vision-Language Models for Personalized Autonomous Vehicle Motion Control: System Design and Real-World Validation
by: Cui, Can, et al.
Published: (2024)
by: Cui, Can, et al.
Published: (2024)
Personalized Autonomous Driving with Large Language Models: Field Experiments
by: Cui, Can, et al.
Published: (2023)
by: Cui, Can, et al.
Published: (2023)
ICR-Drive: Instruction Counterfactual Robustness for End-to-End Language-Driven Autonomous Driving
by: Hamid, Kaiser, et al.
Published: (2026)
by: Hamid, Kaiser, et al.
Published: (2026)
One-Step Diffusion Samplers via Self-Distillation and Deterministic Flow
by: Jutras-Dube, Pascal, et al.
Published: (2025)
by: Jutras-Dube, Pascal, et al.
Published: (2025)
Senna: Bridging Large Vision-Language Models and End-to-End Autonomous Driving
by: Jiang, Bo, et al.
Published: (2024)
by: Jiang, Bo, et al.
Published: (2024)
ORION: A Holistic End-to-End Autonomous Driving Framework by Vision-Language Instructed Action Generation
by: Fu, Haoyu, et al.
Published: (2025)
by: Fu, Haoyu, et al.
Published: (2025)
DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving
by: Liao, Bencheng, et al.
Published: (2024)
by: Liao, Bencheng, et al.
Published: (2024)
HiST-VLA: A Hierarchical Spatio-Temporal Vision-Language-Action Model for End-to-End Autonomous Driving
by: Wang, Yiru, et al.
Published: (2026)
by: Wang, Yiru, et al.
Published: (2026)
LMAD: Integrated End-to-End Vision-Language Model for Explainable Autonomous Driving
by: Song, Nan, et al.
Published: (2025)
by: Song, Nan, et al.
Published: (2025)
Mimir: Hierarchical Goal-Driven Diffusion with Uncertainty Propagation for End-to-End Autonomous Driving
by: Xing, Zebin, et al.
Published: (2025)
by: Xing, Zebin, et al.
Published: (2025)
Unleashing the Potential of Diffusion Models for End-to-End Autonomous Driving
by: Zheng, Yinan, et al.
Published: (2026)
by: Zheng, Yinan, et al.
Published: (2026)
End-to-End Autonomous Driving through V2X Cooperation
by: Yu, Haibao, et al.
Published: (2024)
by: Yu, Haibao, et al.
Published: (2024)
NuPlanQA: A Large-Scale Dataset and Benchmark for Multi-View Driving Scene Understanding in Multi-Modal Large Language Models
by: Park, Sung-Yeon, et al.
Published: (2025)
by: Park, Sung-Yeon, et al.
Published: (2025)
AnchDrive: Bootstrapping Diffusion Policies with Hybrid Trajectory Anchors for End-to-End Driving
by: Chai, Jinhao, et al.
Published: (2025)
by: Chai, Jinhao, et al.
Published: (2025)
Structured Labeling Enables Faster Vision-Language Models for End-to-End Autonomous Driving
by: Jiang, Hao, et al.
Published: (2025)
by: Jiang, Hao, et al.
Published: (2025)
WiseAD: Knowledge Augmented End-to-End Autonomous Driving with Vision-Language Model
by: Zhang, Songyan, et al.
Published: (2024)
by: Zhang, Songyan, et al.
Published: (2024)
SOLVE: Synergy of Language-Vision and End-to-End Networks for Autonomous Driving
by: Chen, Xuesong, et al.
Published: (2025)
by: Chen, Xuesong, et al.
Published: (2025)
World4Drive: End-to-End Autonomous Driving via Intention-aware Physical Latent World Model
by: Zheng, Yupeng, et al.
Published: (2025)
by: Zheng, Yupeng, et al.
Published: (2025)
DriveE2E: Closed-Loop Benchmark for End-to-End Autonomous Driving through Real-to-Simulation
by: Yu, Haibao, et al.
Published: (2025)
by: Yu, Haibao, et al.
Published: (2025)
VLM-AD: End-to-End Autonomous Driving through Vision-Language Model Supervision
by: Xu, Yi, et al.
Published: (2024)
by: Xu, Yi, et al.
Published: (2024)
Accelerating Inference of Discrete Autoregressive Normalizing Flows by Selective Jacobi Decoding
by: Zhang, Jiaru, et al.
Published: (2025)
by: Zhang, Jiaru, et al.
Published: (2025)
Analytical Correction for Subsampling Bias in Drifting Models
by: Zhang, Jiaru, et al.
Published: (2026)
by: Zhang, Jiaru, et al.
Published: (2026)
MindDrive: An All-in-One Framework Bridging World Models and Vision-Language Model for End-to-End Autonomous Driving
by: Sun, Bin, et al.
Published: (2025)
by: Sun, Bin, et al.
Published: (2025)
Data Scaling Laws for Imitation Learning-Based End-to-End Autonomous Driving
by: Zheng, Yupeng, et al.
Published: (2024)
by: Zheng, Yupeng, et al.
Published: (2024)
DiffusionDriveV2: Reinforcement Learning-Constrained Truncated Diffusion Modeling in End-to-End Autonomous Driving
by: Zou, Jialv, et al.
Published: (2025)
by: Zou, Jialv, et al.
Published: (2025)
Enhanced Safety in Autonomous Driving: Integrating Latent State Diffusion Model for End-to-End Navigation
by: Chu, Detian, et al.
Published: (2024)
by: Chu, Detian, et al.
Published: (2024)
ComDrive: Comfort-Oriented End-to-End Autonomous Driving
by: Wang, Junming, et al.
Published: (2024)
by: Wang, Junming, et al.
Published: (2024)
Multimodal Action Diffusion for Robust End-to-End Autonomous Driving
by: Rodríguez-Vidal, Jorge Daniel, et al.
Published: (2026)
by: Rodríguez-Vidal, Jorge Daniel, et al.
Published: (2026)
VECTOR-Drive: Tightly Coupled Vision-Language and Trajectory Expert Routing for End-to-End Autonomous Driving
by: Zhao, Rui, et al.
Published: (2026)
by: Zhao, Rui, et al.
Published: (2026)
DriveMoE: Mixture-of-Experts for Vision-Language-Action Model in End-to-End Autonomous Driving
by: Yang, Zhenjie, et al.
Published: (2025)
by: Yang, Zhenjie, et al.
Published: (2025)
Navigation-Guided Sparse Scene Representation for End-to-End Autonomous Driving
by: Li, Peidong, et al.
Published: (2024)
by: Li, Peidong, et al.
Published: (2024)
UniSTPA: A Safety Analysis Framework for End-to-End Autonomous Driving
by: Kou, Hongrui, et al.
Published: (2025)
by: Kou, Hongrui, et al.
Published: (2025)
DIVER: Reinforced Diffusion Breaks Imitation Bottlenecks in End-to-End Autonomous Driving
by: Song, Ziying, et al.
Published: (2025)
by: Song, Ziying, et al.
Published: (2025)
Latent-WAM: Latent World Action Modeling for End-to-End Autonomous Driving
by: Wang, Linbo, et al.
Published: (2026)
by: Wang, Linbo, et al.
Published: (2026)
DriveTransformer: Unified Transformer for Scalable End-to-End Autonomous Driving
by: Jia, Xiaosong, et al.
Published: (2025)
by: Jia, Xiaosong, et al.
Published: (2025)
Drive-JEPA: Video JEPA Meets Multimodal Trajectory Distillation for End-to-End Driving
by: Wang, Linhan, et al.
Published: (2026)
by: Wang, Linhan, et al.
Published: (2026)
GenAD: Generative End-to-End Autonomous Driving
by: Zheng, Wenzhao, et al.
Published: (2024)
by: Zheng, Wenzhao, et al.
Published: (2024)
Similar Items
-
Efficient and Explainable End-to-End Autonomous Driving via Masked Vision-Language-Action Diffusion
by: Zhang, Jiaru, et al.
Published: (2026) -
LLM4AD: Large Language Models for Autonomous Driving -- Concept, Review, Benchmark, Experiments, and Future Trends
by: Cui, Can, et al.
Published: (2024) -
A Hierarchical Test Platform for Vision Language Model (VLM)-Integrated Real-World Autonomous Driving
by: Zhou, Yupeng, et al.
Published: (2025) -
On-Board Vision-Language Models for Personalized Autonomous Vehicle Motion Control: System Design and Real-World Validation
by: Cui, Can, et al.
Published: (2024) -
Personalized Autonomous Driving with Large Language Models: Field Experiments
by: Cui, Can, et al.
Published: (2023)