Cover Image

DiffVLA: Vision-Language Guided Diffusion Planning for Autonomous Driving

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jiang, Anqing, Gao, Yu, Sun, Zhigang, Wang, Yiru, Wang, Jijun, Chai, Jinghao, Cao, Qian, Heng, Yuweng, Jiang, Hao, Dong, Yunda, Zhang, Zongzheng, Guo, Xianda, Sun, Hao, Zhao, Hao
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence 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

DiffVLA++: Bridging Cognitive Reasoning and End-to-End Driving through Metric-Guided Alignment
by: Gao, Yu, et al.
Published: (2025)

HiST-VLA: A Hierarchical Spatio-Temporal Vision-Language-Action Model for End-to-End Autonomous Driving
by: Wang, Yiru, et al.
Published: (2026)

DiffSemanticFusion: Semantic Raster BEV Fusion for Autonomous Driving via Online HD Map Diffusion
by: Sun, Zhigang, et al.
Published: (2025)

IRL-VLA: Training an Vision-Language-Action Policy via Reward World Model
by: Jiang, Anqing, et al.
Published: (2025)

UniUncer: Unified Dynamic Static Uncertainty for End to End Driving
by: Gao, Yu, et al.
Published: (2026)

ETA-VLA: Efficient Token Adaptation via Temporal Fusion and Intra-LLM Sparsification for Vision-Language-Action Models
by: Wang, Yiru, et al.
Published: (2026)

FlowDrive: Energy Flow Field for End-to-End Autonomous Driving
by: Jiang, Hao, et al.
Published: (2025)

Do Open-Loop Metrics Predict Closed-Loop Driving? A Cross-Benchmark Correlation Study of NAVSIM and Bench2Drive
by: Wang, Yiru, et al.
Published: (2026)

AnchDrive: Bootstrapping Diffusion Policies with Hybrid Trajectory Anchors for End-to-End Driving
by: Chai, Jinhao, et al.
Published: (2025)

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

Unified Map Prior Encoder for Mapping and Planning
by: Zhang, Zongzheng, et al.
Published: (2026)

SparseMeXT Unlocking the Potential of Sparse Representations for HD Map Construction
by: Jiang, Anqing, et al.
Published: (2025)

Uni-World VLA: Interleaved World Modeling and Planning for Autonomous Driving
by: Liu, Qiqi, et al.
Published: (2026)

GeneralVLA: Generalizable Vision-Language-Action Models with Knowledge-Guided Trajectory Planning
by: Ma, Guoqing, et al.
Published: (2026)

Butter: Frequency Consistency and Hierarchical Fusion for Autonomous Driving Object Detection
by: Lin, Xiaojian, et al.
Published: (2025)

VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning
by: Jiang, Bo, et al.
Published: (2024)

UniDriveVLA: Unifying Understanding, Perception, and Action Planning for Autonomous Driving
by: Li, Yongkang, 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)

EvoDriveVLA: Evolving Driving VLA Models via Collaborative Perception-Planning Distillation
by: Cao, Jiajun, et al.
Published: (2026)

TA-VLA: Elucidating the Design Space of Torque-aware Vision-Language-Action Models
by: Zhang, Zongzheng, et al.
Published: (2025)

Impromptu VLA: Open Weights and Open Data for Driving Vision-Language-Action Models
by: Chi, Haohan, et al.
Published: (2025)

E-Values for Exponential Families: the General Case
by: Hao, Yunda, et al.
Published: (2024)

WAM-Diff: A Masked Diffusion VLA Framework with MoE and Online Reinforcement Learning for Autonomous Driving
by: Xu, Mingwang, et al.
Published: (2025)

BridgeDrive: Diffusion Bridge Policy for Closed-Loop Trajectory Planning in Autonomous Driving
by: Liu, Shu, et al.
Published: (2025)

Structured Labeling Enables Faster Vision-Language Models for End-to-End Autonomous Driving
by: Jiang, Hao, et al.
Published: (2025)

End-To-End Planning of Autonomous Driving in Industry and Academia: 2022-2023
by: Lan, Gongjin, et al.
Published: (2023)

AirRAG: Autonomous Strategic Planning and Reasoning Steer Retrieval Augmented Generation
by: Feng, Wenfeng, et al.
Published: (2025)

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

InterHub: A Naturalistic Trajectory Dataset with Dense Interaction for Autonomous Driving
by: Jiang, Xiyan, et al.
Published: (2024)

GeoVLA: Empowering 3D Representations in Vision-Language-Action Models
by: Sun, Lin, et al.
Published: (2025)

AdvDiffuser: Generating Adversarial Safety-Critical Driving Scenarios via Guided Diffusion
by: Xie, Yuting, et al.
Published: (2024)

AnyLogo: Symbiotic Subject-Driven Diffusion System with Gemini Status
by: Zhang, Jinghao, et al.
Published: (2024)

Flavor and CP Symmetries in the Standard Model Effective Field Theory
by: Sun, Hao, et al.
Published: (2025)

Temporally Decoupled Diffusion Planning for Autonomous Driving
by: Li, Xiang, et al.
Published: (2026)

Diff-Cleanse: Identifying and Mitigating Backdoor Attacks in Diffusion Models
by: Hao, Jiang, et al.
Published: (2024)

DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving
by: Liao, Bencheng, et al.
Published: (2024)

DiffAD: A Unified Diffusion Modeling Approach for Autonomous Driving
by: Wang, Tao, et al.
Published: (2025)

DriveAction: A Benchmark for Exploring Human-like Driving Decisions in VLA Models
by: Hao, Yuhan, et al.
Published: (2025)

GuideFlow: Constraint-Guided Flow Matching for Planning in End-to-End Autonomous Driving
by: Liu, Lin, et al.
Published: (2025)

LLM-Driven Scenario-Aware Planning for Autonomous Driving
by: Li, He, et al.
Published: (2026)