Cover Image

EvoDriveVLA: Evolving Driving VLA Models via Collaborative Perception-Planning Distillation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Cao, Jiajun, Zhang, Xiaoan, Wei, Xiaobao, Huang, Liyuqiu, Wang, Zijian, Zhang, Hanzhen, Jia, Zhengyu, Mao, Wei, Wang, Hao, Liu, Xianming, Zhou, Shuchang, Wang, Yang, Zhang, Shanghang
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

FastDriveVLA: Efficient End-to-End Driving via Plug-and-Play Reconstruction-based Token Pruning
by: Cao, Jiajun, et al.
Published: (2025)

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

EvoVLA: Self-Evolving Vision-Language-Action Model
by: Liu, Zeting, et al.
Published: (2025)

DiffVLA: Vision-Language Guided Diffusion Planning for Autonomous Driving
by: Jiang, Anqing, et al.
Published: (2025)

EvoScene-VLA: Evolving Scene Beliefs Inside the Action Decoder for Chunked Robot Control
by: Zhang, Chushan, et al.
Published: (2026)

Devil is in Narrow Policy: Unleashing Exploration in Driving VLA Models
by: Chen, Canyu, et al.
Published: (2026)

MindVLA-U1: VLA Beats VA with Unified Streaming Architecture for Autonomous Driving
by: Huang, Yuzhou, et al.
Published: (2026)

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

DriveVLA-W0: World Models Amplify Data Scaling Law in Autonomous Driving
by: Li, Yingyan, et al.
Published: (2025)

OmniIndoor3D: Comprehensive Indoor 3D Reconstruction
by: Wei, Xiaobao, et al.
Published: (2025)

DriveFine: Refining-Augmented Masked Diffusion VLA for Precise and Robust Driving
by: Dang, Chenxu, et al.
Published: (2026)

AutoDrive-R$^2$: Incentivizing Reasoning and Self-Reflection Capacity for VLA Model in Autonomous Driving
by: Yuan, Zhenlong, et al.
Published: (2025)

SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning
by: Li, Haozhan, et al.
Published: (2025)

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

I-MedSAM: Implicit Medical Image Segmentation with Segment Anything
by: Wei, Xiaobao, et al.
Published: (2023)

Learning from Mistakes: Post-Training for Driving VLA with Takeover Data
by: Gao, Yinfeng, et al.
Published: (2026)

Listen, Look, Drive: Coupling Audio Instructions for User-aware VLA-based Autonomous Driving
by: Guo, Ziang, et al.
Published: (2026)

VDRive: Leveraging Reinforced VLA and Diffusion Policy for End-to-end Autonomous Driving
by: Guo, Ziang, et al.
Published: (2025)

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

Grounding Driving VLA via Inverse Kinematics
by: Park, Junsung, et al.
Published: (2026)

ManualVLA: A Unified VLA Model for Chain-of-Thought Manual Generation and Robotic Manipulation
by: Gu, Chenyang, et al.
Published: (2025)

Audio-VLA: Adding Contact Audio Perception to Vision-Language-Action Model for Robotic Manipulation
by: Wei, Xiangyi, et al.
Published: (2025)

$\textit{S}^3$Gaussian: Self-Supervised Street Gaussians for Autonomous Driving
by: Huang, Nan, et al.
Published: (2024)

Open-Loop Planning, Closed-Loop Verification: Speculative Verification for VLA
by: Wang, Zihua, 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)

BlockVLA: Accelerating Autoregressive VLA via Block Diffusion Finetuning
by: Wang, Ruiheng, et al.
Published: (2026)

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

DistillDrive: End-to-End Multi-Mode Autonomous Driving Distillation by Isomorphic Hetero-Source Planning Model
by: Yu, Rui, et al.
Published: (2025)

EmbodiedOcc++: Boosting Embodied 3D Occupancy Prediction with Plane Regularization and Uncertainty Sampler
by: Wang, Hao, et al.
Published: (2025)

TrackVLA++: Unleashing Reasoning and Memory Capabilities in VLA Models for Embodied Visual Tracking
by: Liu, Jiahang, et al.
Published: (2025)

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

From Stealthy Data Fabrication to Unsafe Driving: Realistic Scenario Attacks on Collaborative Perception
by: Zhang, Qingzhao, et al.
Published: (2026)

ColaVLA: Leveraging Cognitive Latent Reasoning for Hierarchical Parallel Trajectory Planning in Autonomous Driving
by: Peng, Qihang, et al.
Published: (2025)

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

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

OmniVLA: Physically-Grounded Multimodal VLA with Unified Multi-Sensor Perception for Robotic Manipulation
by: Guo, Heyu, et al.
Published: (2025)

Perception in Plan: Coupled Perception and Planning for End-to-End Autonomous Driving
by: Zhang, Bozhou, et al.
Published: (2025)

SAMoE-VLA: A Scene Adaptive Mixture-of-Experts Vision-Language-Action Model for Autonomous Driving
by: You, Zihan, et al.
Published: (2026)

Sci-VLA: Agentic VLA Inference Plugin for Long-Horizon Tasks in Scientific Experiments
by: Pang, Yiwen, et al.
Published: (2026)

CoWorld-VLA: Thinking in a Multi-Expert World Model for Autonomous Driving
by: Huang, Minqing, et al.
Published: (2026)