Cover Image

MindDrive: A Vision-Language-Action Model for Autonomous Driving via Online Reinforcement Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Fu, Haoyu, Zhang, Diankun, Zhao, Zongchuang, Cui, Jianfeng, Xie, Hongwei, Wang, Bing, Chen, Guang, Liang, Dingkang, Bai, Xiang
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Robotics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ORION: A Holistic End-to-End Autonomous Driving Framework by Vision-Language Instructed Action Generation
by: Fu, Haoyu, et al.
Published: (2025)

Extending Large Vision-Language Model for Diverse Interactive Tasks in Autonomous Driving
by: Zhao, Zongchuang, et al.
Published: (2025)

DriveVA: Video Action Models are Zero-Shot Drivers
by: Liu, Mengmeng, et al.
Published: (2026)

LVDrive: Latent Visual Representation Enhanced Vision-Language-Action Autonomous Driving Model
by: Mei, Xiaodong, et al.
Published: (2026)

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

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

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

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

MindDriver: Introducing Progressive Multimodal Reasoning for Autonomous Driving
by: Zhang, Lingjun, et al.
Published: (2026)

DriveMind: A Dual Visual Language Model-based Reinforcement Learning Framework for Autonomous Driving
by: Wasif, Dawood, et al.
Published: (2025)

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

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)

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

DriveWorld-VLA: Unified Latent-Space World Modeling with Vision-Language-Action for Autonomous Driving
by: jia, Feiyang, et al.
Published: (2026)

Action Space Reduction Strategies for Reinforcement Learning in Autonomous Driving
by: Delavari, Elahe, et al.
Published: (2025)

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

Unifying Language-Action Understanding and Generation for Autonomous Driving
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)

DriveAnchor: Progressive Anchor-based Flow Learning for Autonomous Driving Planning
by: Yan, Limin, et al.
Published: (2026)

ReCogDrive: A Reinforced Cognitive Framework for End-to-End Autonomous Driving
by: Li, Yongkang, et al.
Published: (2025)

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

DVGT-2: Vision-Geometry-Action Model for Autonomous Driving at Scale
by: Zuo, Sicheng, et al.
Published: (2026)

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

TeLL-Drive: Enhancing Autonomous Driving with Teacher LLM-Guided Deep Reinforcement Learning
by: Xu, Chengkai, et al.
Published: (2025)

DriveVLM-RL: Neuroscience-Inspired Reinforcement Learning with Vision-Language Models for Safe and Deployable Autonomous Driving
by: Huang, Zilin, et al.
Published: (2026)

Online Temporal Fusion for Vectorized Map Construction in Mapless Autonomous Driving
by: Chen, Jiagang, et al.
Published: (2024)

Reasoning-VLA: A Fast and General Vision-Language-Action Reasoning Model for Autonomous Driving
by: Zhang, Dapeng, et al.
Published: (2025)

MARL-OT: Multi-Agent Reinforcement Learning Guided Online Fuzzing to Detect Safety Violation in Autonomous Driving Systems
by: Liang, Linfeng, et al.
Published: (2025)

DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model
by: Xu, Zhenhua, et al.
Published: (2023)

VisionPAD: A Vision-Centric Pre-training Paradigm for Autonomous Driving
by: Zhang, Haiming, et al.
Published: (2024)

VECTOR-Drive: Tightly Coupled Vision-Language and Trajectory Expert Routing for End-to-End Autonomous Driving
by: Zhao, Rui, et al.
Published: (2026)

Nav-EE: Navigation-Guided Early Exiting for Efficient Vision-Language Models in Autonomous Driving
by: Hu, Haibo, et al.
Published: (2025)

EvoPSF: Online Evolution of Autonomous Driving Models via Planning-State Feedback
by: Jin, Jiayue, et al.
Published: (2025)

Seeing before Observable: Potential Risk Reasoning in Autonomous Driving via Vision Language Models
by: Liu, Jiaxin, et al.
Published: (2025)

Risk-Aware Reinforcement Learning for Autonomous Driving: Improving Safety When Driving through Intersection
by: Leng, Bo, et al.
Published: (2025)

DeeAD: Dynamic Early Exit of Vision-Language Action for Efficient Autonomous Driving
by: HU, Haibo, et al.
Published: (2025)

Multi-Agent Reinforcement Learning for Autonomous Driving: A Survey
by: Zhang, Ruiqi, et al.
Published: (2024)

Minds on the Move: Decoding Trajectory Prediction in Autonomous Driving with Cognitive Insights
by: Liao, Haicheng, et al.
Published: (2025)

Drive-R1: Bridging Reasoning and Planning in VLMs for Autonomous Driving with Reinforcement Learning
by: Li, Yue, et al.
Published: (2025)

DynVLA: Learning World Dynamics for Action Reasoning in Autonomous Driving
by: Shang, Shuyao, et al.
Published: (2026)