DriveMA: Driving Vision-Language-Action Models with verifiable Meta-Actions
Fuente:
arXiv
Saved in:
| Main Authors: | Zheng, Weicheng, Huang, Yixin, Sun, Qiao, Li, Derun, Zhao, Hang |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Impromptu VLA: Open Weights and Open Data for Driving Vision-Language-Action Models
by: Chi, Haohan, et al.
Published: (2025)
by: Chi, Haohan, et al.
Published: (2025)
Judge, Then Drive: A Critic-Centric Vision Language Action Framework for Autonomous Driving
by: Yang, Lijin, et al.
Published: (2026)
by: Yang, Lijin, et al.
Published: (2026)
OneDrive: Unified Multi-Paradigm Driving with Vision-Language-Action Models
by: Zhang, Yiwei, et al.
Published: (2026)
by: Zhang, Yiwei, et al.
Published: (2026)
OccLLaMA: An Occupancy-Language-Action Generative World Model for Autonomous Driving
by: Wei, Julong, et al.
Published: (2024)
by: Wei, Julong, et al.
Published: (2024)
A Survey on Vision-Language-Action Models for Autonomous Driving
by: Jiang, Sicong, et al.
Published: (2025)
by: Jiang, Sicong, et al.
Published: (2025)
Learning Vision-Language-Action World Models for Autonomous Driving
by: Wang, Guoqing, et al.
Published: (2026)
by: Wang, Guoqing, et al.
Published: (2026)
MindDrive: A Vision-Language-Action Model for Autonomous Driving via Online Reinforcement Learning
by: Fu, Haoyu, et al.
Published: (2025)
by: Fu, Haoyu, et al.
Published: (2025)
OpenDriveVLA: Towards End-to-end Autonomous Driving with Large Vision Language Action Model
by: Zhou, Xingcheng, et al.
Published: (2025)
by: Zhou, Xingcheng, et al.
Published: (2025)
Drive My Way: Preference Alignment of Vision-Language-Action Model for Personalized Driving
by: Wang, Zehao, et al.
Published: (2026)
by: Wang, Zehao, et al.
Published: (2026)
DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models
by: Tian, Xiaoyu, et al.
Published: (2024)
by: Tian, Xiaoyu, et al.
Published: (2024)
RAD: Retrieval-Augmented Decision-Making of Meta-Actions with Vision-Language Models in Autonomous Driving
by: Wang, Yujin, et al.
Published: (2025)
by: Wang, Yujin, et al.
Published: (2025)
VLADriver-RAG: Retrieval-Augmented Vision-Language-Action Models for Autonomous Driving
by: Zhao, Rui, et al.
Published: (2026)
by: Zhao, Rui, et al.
Published: (2026)
DriveWorld-VLA: Unified Latent-Space World Modeling with Vision-Language-Action for Autonomous Driving
by: jia, Feiyang, et al.
Published: (2026)
by: jia, Feiyang, et al.
Published: (2026)
CoVLA: Comprehensive Vision-Language-Action Dataset for Autonomous Driving
by: Arai, Hidehisa, et al.
Published: (2024)
by: Arai, Hidehisa, et al.
Published: (2024)
DriveAgent-R1: Advancing VLM-based Autonomous Driving with Active Perception and Hybrid Thinking
by: Zheng, Weicheng, et al.
Published: (2025)
by: Zheng, Weicheng, et al.
Published: (2025)
Unifying Language-Action Understanding and Generation for Autonomous Driving
by: Wang, Xinyang, et al.
Published: (2026)
by: Wang, Xinyang, 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)
DVGT-2: Vision-Geometry-Action Model for Autonomous Driving at Scale
by: Zuo, Sicheng, et al.
Published: (2026)
by: Zuo, Sicheng, et al.
Published: (2026)
AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning
by: Zhou, Zewei, et al.
Published: (2025)
by: Zhou, Zewei, et al.
Published: (2025)
Does Visual Information Play a Decisive Role in Vision-Language-Action Model Driving Behavior?
by: He, Jingtao, et al.
Published: (2026)
by: He, Jingtao, et al.
Published: (2026)
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)
Reasoning-VLA: A Fast and General Vision-Language-Action Reasoning Model for Autonomous Driving
by: Zhang, Dapeng, et al.
Published: (2025)
by: Zhang, Dapeng, et al.
Published: (2025)
LVDrive: Latent Visual Representation Enhanced Vision-Language-Action Autonomous Driving Model
by: Mei, Xiaodong, et al.
Published: (2026)
by: Mei, Xiaodong, et al.
Published: (2026)
DriveWAM: Video Generative Priors Enable Scalable World-Action Modeling for Autonomous Driving
by: Shi, Chen, et al.
Published: (2026)
by: Shi, Chen, et al.
Published: (2026)
AutoMoT: A Unified Vision-Language-Action Model with Asynchronous Mixture-of-Transformers for End-to-End Autonomous Driving
by: Huang, Wenhui, et al.
Published: (2026)
by: Huang, Wenhui, et al.
Published: (2026)
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)
SAMoE-VLA: A Scene Adaptive Mixture-of-Experts Vision-Language-Action Model for Autonomous Driving
by: You, Zihan, et al.
Published: (2026)
by: You, Zihan, et al.
Published: (2026)
GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control
by: Chen, Anthony, et al.
Published: (2025)
by: Chen, Anthony, et al.
Published: (2025)
DriveAction: A Benchmark for Exploring Human-like Driving Decisions in VLA Models
by: Hao, Yuhan, et al.
Published: (2025)
by: Hao, Yuhan, et al.
Published: (2025)
LaST-VLA: Thinking in Latent Spatio-Temporal Space for Vision-Language-Action in Autonomous Driving
by: Luo, Yuechen, et al.
Published: (2026)
by: Luo, Yuechen, et al.
Published: (2026)
SimLingo: Vision-Only Closed-Loop Autonomous Driving with Language-Action Alignment
by: Renz, Katrin, et al.
Published: (2025)
by: Renz, Katrin, et al.
Published: (2025)
UniDriveVLA: Unifying Understanding, Perception, and Action Planning for Autonomous Driving
by: Li, Yongkang, et al.
Published: (2026)
by: Li, Yongkang, et al.
Published: (2026)
NoRD: A Data-Efficient Vision-Language-Action Model that Drives without Reasoning
by: Rawal, Ishaan, et al.
Published: (2026)
by: Rawal, Ishaan, et al.
Published: (2026)
VLA-R: Vision-Language Action Retrieval toward Open-World End-to-End Autonomous Driving
by: Seong, Hyunki, et al.
Published: (2025)
by: Seong, Hyunki, et al.
Published: (2025)
E3AD: An Emotion-Aware Vision-Language-Action Model for Human-Centric End-to-End Autonomous Driving
by: Tang, Yihong, et al.
Published: (2025)
by: Tang, Yihong, 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)
FASTer: Toward Efficient Autoregressive Vision Language Action Modeling via Neural Action Tokenization
by: Liu, Yicheng, et al.
Published: (2025)
by: Liu, Yicheng, et al.
Published: (2025)
WorldVLN: Autoregressive World Action Model for Aerial Vision-Language Navigation
by: Zhao, Baining, et al.
Published: (2026)
by: Zhao, Baining, et al.
Published: (2026)
LLaDA-VLA: Vision Language Diffusion Action Models
by: Wen, Yuqing, et al.
Published: (2025)
by: Wen, Yuqing, et al.
Published: (2025)
DepthVLA: Enhancing Vision-Language-Action Models with Depth-Aware Spatial Reasoning
by: Yuan, Tianyuan, et al.
Published: (2025)
by: Yuan, Tianyuan, et al.
Published: (2025)
Similar Items
-
Impromptu VLA: Open Weights and Open Data for Driving Vision-Language-Action Models
by: Chi, Haohan, et al.
Published: (2025) -
Judge, Then Drive: A Critic-Centric Vision Language Action Framework for Autonomous Driving
by: Yang, Lijin, et al.
Published: (2026) -
OneDrive: Unified Multi-Paradigm Driving with Vision-Language-Action Models
by: Zhang, Yiwei, et al.
Published: (2026) -
OccLLaMA: An Occupancy-Language-Action Generative World Model for Autonomous Driving
by: Wei, Julong, et al.
Published: (2024) -
A Survey on Vision-Language-Action Models for Autonomous Driving
by: Jiang, Sicong, et al.
Published: (2025)