Cover Image

DVGT-2: Vision-Geometry-Action Model for Autonomous Driving at Scale

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zuo, Sicheng, Xie, Zixun, Zheng, Wenzhao, Xu, Shaoqing, Li, Fang, Li, Hanbing, Chen, Long, Yang, Zhi-Xin, Lu, Jiwen
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Robotics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DVGT: Driving Visual Geometry Transformer
by: Zuo, Sicheng, et al.
Published: (2025)

GPD-1: Generative Pre-training for Driving
by: Xie, Zixun, et al.
Published: (2024)

Vega: Learning to Drive with Natural Language Instructions
by: Zuo, Sicheng, et al.
Published: (2026)

GaussianAD: Gaussian-Centric End-to-End Autonomous Driving
by: Zheng, Wenzhao, et al.
Published: (2024)

Doe-1: Closed-Loop Autonomous Driving with Large World Model
by: Zheng, Wenzhao, et al.
Published: (2024)

Think before Go: Hierarchical Reasoning for Image-goal Navigation
by: Li, Pengna, et al.
Published: (2026)

GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control
by: Chen, Anthony, et al.
Published: (2025)

StyleVLA: Driving Style-Aware Vision Language Action Model for Autonomous Driving
by: Gao, Yuan, et al.
Published: (2026)

Vision-Language-Action Models for Autonomous Driving: Past, Present, and Future
by: Hu, Tianshuai, et al.
Published: (2025)

Discrete Diffusion for Reflective Vision-Language-Action Models in Autonomous Driving
by: Li, Pengxiang, et al.
Published: (2025)

A Survey on Vision-Language-Action Models for Autonomous Driving
by: Jiang, Sicong, et al.
Published: (2025)

A Vision-Language-Action Model with Visual Prompt for OFF-Road Autonomous Driving
by: Zhang, Liangdong, et al.
Published: (2026)

AwareVLN: Reasoning with Self-awareness for Vision-Language Navigation
by: Guo, Wenxuan, et al.
Published: (2026)

SimLingo: Vision-Only Closed-Loop Autonomous Driving with Language-Action Alignment
by: Renz, Katrin, et al.
Published: (2025)

Vision-Guided MPPI for Agile Drone Racing: Navigating Arbitrary Gate Poses via Neural Signed Distance Fields
by: Zhao, Fangguo, 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)

DriveTok: 3D Driving Scene Tokenization for Unified Multi-View Reconstruction and Understanding
by: Zhuo, Dong, et al.
Published: (2026)

UniDriveVLA: Unifying Understanding, Perception, and Action Planning for Autonomous Driving
by: Li, Yongkang, et al.
Published: (2026)

Don't Shake the Wheel: Momentum-Aware Planning in End-to-End Autonomous Driving
by: Song, Ziying, et al.
Published: (2025)

MindDrive: A Vision-Language-Action Model for Autonomous Driving via Online Reinforcement Learning
by: Fu, Haoyu, et al.
Published: (2025)

AutoFly: Vision-Language-Action Model for UAV Autonomous Navigation in the Wild
by: Sun, Xiaolou, 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)

Bench2Drive-VL: Benchmarks for Closed-Loop Autonomous Driving with Vision-Language Models
by: Jia, Xiaosong, et al.
Published: (2026)

Data Scaling Laws for Imitation Learning-Based End-to-End Autonomous Driving
by: Zheng, Yupeng, et al.
Published: (2024)

Learning Autonomous Race Driving with Action Mapping Reinforcement Learning
by: Wang, Yuanda, et al.
Published: (2024)

VLM-MPC: Vision Language Foundation Model (VLM)-Guided Model Predictive Controller (MPC) for Autonomous Driving
by: Long, Keke, et al.
Published: (2024)

FPC-VLA: A Vision-Language-Action Framework with a Supervisor for Failure Prediction and Correction
by: Yang, Yifan, et al.
Published: (2025)

Unifying Language-Action Understanding and Generation for Autonomous Driving
by: Wang, Xinyang, et al.
Published: (2026)

Large Language Model based Interactive Decision-Making for Autonomous Driving
by: Dong, Xinwei, et al.
Published: (2026)

Map-World: Masked Action planning and Path-Integral World Model for Autonomous Driving
by: Hu, Bin, et al.
Published: (2025)

VILTA: A VLM-in-the-Loop Adversary for Enhancing Driving Policy Robustness
by: Chen, Qimao, et al.
Published: (2026)

Safe Multi-Agent Reinforcement Learning with Bilevel Optimization in Autonomous Driving
by: Zheng, Zhi, et al.
Published: (2024)

Instruct Large Language Models to Drive like Humans
by: Zhang, Ruijun, et al.
Published: (2024)

EmbodiedOcc: Embodied 3D Occupancy Prediction for Vision-based Online Scene Understanding
by: Wu, Yuqi, et al.
Published: (2024)

Confidence-Guided Human-AI Collaboration: Reinforcement Learning with Distributional Proxy Value Propagation for Autonomous Driving
by: Zeqiao, Li, et al.
Published: (2025)

GaussianWorld: Gaussian World Model for Streaming 3D Occupancy Prediction
by: Zuo, Sicheng, et al.
Published: (2024)

VinT-6D: A Large-Scale Object-in-hand Dataset from Vision, Touch and Proprioception
by: Wan, Zhaoliang, et al.
Published: (2024)

X-DiffVLA: X-Embodied Diffusion Action Heads for Vision-Language-Action Models
by: Li, Boyu, et al.
Published: (2026)

CoC-VLA: Delving into Adversarial Domain Transfer for Explainable Autonomous Driving via Chain-of-Causality Visual-Language-Action Model
by: Zhang, Dapeng, et al.
Published: (2025)

Latent-WAM: Latent World Action Modeling for End-to-End Autonomous Driving
by: Wang, Linbo, et al.
Published: (2026)