Buchumschlag

VLM-AutoDrive: Post-Training Vision-Language Models for Safety-Critical Autonomous Driving Events

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Bhat, Mohammad Qazim, Huang, Yufan, Agarwal, Niket, Wang, Hao, Woods, Michael, Kenyon, John, Lin, Tsung-Yi, Yang, Xiaodong, Liu, Ming-Yu, Xie, Kevin
Format:	Preprint
Veröffentlicht:	2026
Schlagworte:	Computer Vision and Pattern Recognition Artificial Intelligence
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

AutoDrive-QA: A Multiple-Choice Benchmark for Vision-Language Evaluation in Urban Autonomous Driving
von: Khalili, Boshra, et al.
Veröffentlicht: (2025)

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

DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models
von: Tian, Xiaoyu, et al.
Veröffentlicht: (2024)

CurricuVLM: Towards Safe Autonomous Driving via Personalized Safety-Critical Curriculum Learning with Vision-Language Models
von: Sheng, Zihao, et al.
Veröffentlicht: (2025)

$AutoDrive\text{-}P^3$: Unified Chain of Perception-Prediction-Planning Thought via Reinforcement Fine-Tuning
von: Ye, Yuqi, et al.
Veröffentlicht: (2026)

Safety2Drive: Safety-Critical Scenario Benchmark for the Evaluation of Autonomous Driving
von: Li, Jingzheng, et al.
Veröffentlicht: (2025)

VDT-Auto: End-to-end Autonomous Driving with VLM-Guided Diffusion Transformers
von: Guo, Ziang, et al.
Veröffentlicht: (2025)

Judge, Then Drive: A Critic-Centric Vision Language Action Framework for Autonomous Driving
von: Yang, Lijin, et al.
Veröffentlicht: (2026)

VLM-Auto: VLM-based Autonomous Driving Assistant with Human-like Behavior and Understanding for Complex Road Scenes
von: Guo, Ziang, et al.
Veröffentlicht: (2024)

DriVLM: Domain Adaptation of Vision-Language Models in Autonomous Driving
von: Zheng, Xuran, et al.
Veröffentlicht: (2025)

LaVida Drive: Vision-Text Interaction VLM for Autonomous Driving with Token Selection, Recovery and Enhancement
von: Jiao, Siwen, et al.
Veröffentlicht: (2024)

DriveGenVLM: Real-world Video Generation for Vision Language Model based Autonomous Driving
von: Fu, Yongjie, et al.
Veröffentlicht: (2024)

VLM-SAFE: Vision-Language Model-Guided Safety-Aware Reinforcement Learning with World Models for Autonomous Driving
von: Qu, Yansong, et al.
Veröffentlicht: (2025)

SpaceDrive: Infusing Spatial Awareness into VLM-based Autonomous Driving
von: Li, Peizheng, et al.
Veröffentlicht: (2025)

Pre-Trained Vision Models as Perception Backbones for Safety Filters in Autonomous Driving
von: Yang, Yuxuan, et al.
Veröffentlicht: (2024)

VERDI: VLM-Embedded Reasoning for Autonomous Driving
von: Feng, Bowen, et al.
Veröffentlicht: (2025)

RoboDriveVLM: A Novel Benchmark and Baseline towards Robust Vision-Language Models for Autonomous Driving
von: Liao, Dacheng, et al.
Veröffentlicht: (2025)

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

TPS-Drive: Task-Guided Representation Purification for VLM-based Autonomous Driving
von: Li, Jiaxiang, et al.
Veröffentlicht: (2026)

ScVLM: Enhancing Vision-Language Model for Safety-Critical Event Understanding
von: Shi, Liang, et al.
Veröffentlicht: (2024)

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

Occlusion-Aware Contingency Safety-Critical Planning for Autonomous Driving
von: Zheng, Lei, et al.
Veröffentlicht: (2025)

Is Your VLM for Autonomous Driving Safety-Ready? A Comprehensive Benchmark for Evaluating External and In-Cabin Risks
von: Meng, Xianhui, et al.
Veröffentlicht: (2025)

CARScenes: Semantic VLM Dataset for Safe Autonomous Driving
von: He, Yuankai, et al.
Veröffentlicht: (2025)

VLM-AD: End-to-End Autonomous Driving through Vision-Language Model Supervision
von: Xu, Yi, et al.
Veröffentlicht: (2024)

NaviDriveVLM: Decoupling High-Level Reasoning and Motion Planning for Autonomous Driving
von: Tao, Ximeng, et al.
Veröffentlicht: (2026)

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

AutoTrust: Benchmarking Trustworthiness in Large Vision Language Models for Autonomous Driving
von: Xing, Shuo, et al.
Veröffentlicht: (2024)

Improving Autonomous Driving Safety with POP: A Framework for Accurate Partially Observed Trajectory Predictions
von: Wang, Sheng, et al.
Veröffentlicht: (2023)

DynRsl-VLM: Enhancing Autonomous Driving Perception with Dynamic Resolution Vision-Language Models
von: Zhou, Xirui, et al.
Veröffentlicht: (2025)

COVLM-RL: Critical Object-Oriented Reasoning for Autonomous Driving Using VLM-Guided Reinforcement Learning
von: Li, Lin, et al.
Veröffentlicht: (2025)

DriveSafer: End-to-End Autonomous Driving with Safety Guidance
von: Sural, Shounak, et al.
Veröffentlicht: (2026)

DriveCritic: Towards Context-Aware, Human-Aligned Evaluation for Autonomous Driving with Vision-Language Models
von: Song, Jingyu, et al.
Veröffentlicht: (2025)

Evaluation of Safety Cognition Capability in Vision-Language Models for Autonomous Driving
von: Zhang, Enming, et al.
Veröffentlicht: (2025)

Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving
von: Atakishiyev, Shahin, et al.
Veröffentlicht: (2024)

VLM-UDMC: VLM-Enhanced Unified Decision-Making and Motion Control for Urban Autonomous Driving
von: Liu, Haichao, et al.
Veröffentlicht: (2025)

DriveAgent-R1: Advancing VLM-based Autonomous Driving with Active Perception and Hybrid Thinking
von: Zheng, Weicheng, et al.
Veröffentlicht: (2025)

Barrier-Enhanced Parallel Homotopic Trajectory Optimization for Safety-Critical Autonomous Driving
von: Zheng, Lei, et al.
Veröffentlicht: (2024)

VLM-RL: A Unified Vision Language Models and Reinforcement Learning Framework for Safe Autonomous Driving
von: Huang, Zilin, et al.
Veröffentlicht: (2024)

A Hierarchical Test Platform for Vision Language Model (VLM)-Integrated Real-World Autonomous Driving
von: Zhou, Yupeng, et al.
Veröffentlicht: (2025)