Cover Image

Unleashing VLA Potentials in Autonomous Driving via Explicit Learning from Failures

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Luo, Yuechen, Chen, Qimao, Li, Fang, Xu, Shaoqing, Liu, Jaxin, Song, Ziying, Yang, Zhi-xin, Wen, Fuxi
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

AdaThinkDrive: Adaptive Thinking via Reinforcement Learning for Autonomous Driving
by: Luo, Yuechen, et al.
Published: (2025)

GaussianPretrain: A Simple Unified 3D Gaussian Representation for Visual Pre-training in Autonomous Driving
by: Xu, Shaoqing, et al.
Published: (2024)

LaST-VLA: Thinking in Latent Spatio-Temporal Space for Vision-Language-Action in Autonomous Driving
by: Luo, Yuechen, et al.
Published: (2026)

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

TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation
by: Xu, Shaoqing, et al.
Published: (2024)

DriveFuture: Future-Aware Latent World Models for Autonomous Driving
by: Hong, Yufeng, 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)

DIVER: Reinforced Diffusion Breaks Imitation Bottlenecks in End-to-End Autonomous Driving
by: Song, Ziying, et al.
Published: (2025)

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

AlphaDrive: Unleashing the Power of VLMs in Autonomous Driving via Reinforcement Learning and Reasoning
by: Jiang, Bo, et al.
Published: (2025)

Fully Unified Motion Planning for End-to-End Autonomous Driving
by: Liu, Lin, et al.
Published: (2025)

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

Robustness-Aware 3D Object Detection in Autonomous Driving: A Review and Outlook
by: Song, Ziying, et al.
Published: (2024)

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

ExploreVLA: Dense World Modeling and Exploration for End-to-End Autonomous Driving
by: Sheng, Zihao, et al.
Published: (2026)

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

TwinBrainVLA: Unleashing the Potential of Generalist VLMs for Embodied Tasks via Asymmetric Mixture-of-Transformers
by: Yu, Bin, et al.
Published: (2026)

ComDrive: Comfort-Oriented End-to-End Autonomous Driving
by: Wang, Junming, et al.
Published: (2024)

Collaborative Perception Datasets for Autonomous Driving: A Review
by: Wang, Naibang, et al.
Published: (2025)

RoboFusion: Towards Robust Multi-Modal 3D Object Detection via SAM
by: Song, Ziying, et al.
Published: (2024)

ContrastAlign: Toward Robust BEV Feature Alignment via Contrastive Learning for Multi-Modal 3D Object Detection
by: Song, Ziying, et al.
Published: (2024)

Beyond Imitation: Constraint-Aware Trajectory Generation with Flow Matching For End-to-End Autonomous Driving
by: Liu, Lin, et al.
Published: (2025)

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

OpenDriveVLA: Towards End-to-end Autonomous Driving with Large Vision Language Action Model
by: Zhou, Xingcheng, et al.
Published: (2025)

DriveCamSim: Generalizable Camera Simulation via Explicit Camera Modeling for Autonomous Driving
by: Sun, Wenchao, et al.
Published: (2025)

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

MindVLA-U1: VLA Beats VA with Unified Streaming Architecture for Autonomous Driving
by: Huang, Yuzhou, 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)

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

M2DA: Multi-Modal Fusion Transformer Incorporating Driver Attention for Autonomous Driving
by: Xu, Dongyang, et al.
Published: (2024)

CoVLA: Comprehensive Vision-Language-Action Dataset for Autonomous Driving
by: Arai, Hidehisa, et al.
Published: (2024)

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

TraF-Align: Trajectory-aware Feature Alignment for Asynchronous Multi-agent Perception
by: Song, Zhiying, et al.
Published: (2025)

GraphBEV: Towards Robust BEV Feature Alignment for Multi-Modal 3D Object Detection
by: Song, Ziying, et al.
Published: (2024)

Unleashing Generalization of End-to-End Autonomous Driving with Controllable Long Video Generation
by: Ma, Enhui, et al.
Published: (2024)

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

Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation
by: Zhu, Muzhi, et al.
Published: (2024)

VoxelNextFusion: A Simple, Unified and Effective Voxel Fusion Framework for Multi-Modal 3D Object Detection
by: Song, Ziying, et al.
Published: (2024)

Unleashing the Potential of Consistency Learning for Detecting and Grounding Multi-Modal Media Manipulation
by: Li, Yiheng, et al.
Published: (2025)

CoReVLA: A Dual-Stage End-to-End Autonomous Driving Framework for Long-Tail Scenarios via Collect-and-Refine
by: Fang, Shiyu, et al.
Published: (2025)