Imagen de Portada

CARE Drive A Framework for Evaluating Reason-Responsiveness of Vision Language Models in Automated Driving

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Suryana, Lucas Elbert, Bierenga, Farah, van Buuren, Sanne, Kooij, Pepijn, Tulleners, Elsefien, Scari, Federico, Calvert, Simeon, van Arem, Bart, Zgonnikov, Arkady
Formato:	Preprint
Publicado:	2026
Materias:	Artificial Intelligence Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Principles and Reasons Behind Automated Vehicle Decisions in Ethically Ambiguous Everyday Scenarios
por: Suryana, Lucas Elbert, et al.
Publicado: (2025)

A Meaningful Human Control Perspective on User Perception of Partially Automated Driving Systems: A Case Study of Tesla Users
por: Suryana, Lucas Elbert, et al.
Publicado: (2024)

A Framework for Human-Reason-Aligned Trajectory Evaluation in Automated Vehicles
por: Suryana, Lucas Elbert, et al.
Publicado: (2025)

A Framework for Ethical Decision-Making in Automated Vehicles through Human Reasons-based Supervision
por: Suryana, Lucas Elbert, et al.
Publicado: (2025)

Linking Behaviour and Perception to Evaluate Meaningful Human Control over Partially Automated Driving
por: George, Ashwin, et al.
Publicado: (2026)

Data-Driven Semi-Supervised Machine Learning with Safety Indicators for Abnormal Driving Behavior Detection
por: Dong, Yongqi, et al.
Publicado: (2023)

Towards Human-Centric Evaluation of Interaction-Aware Automated Vehicle Controllers: A Framework and Case Study
por: Scarì, Federico, et al.
Publicado: (2025)

Automated Vehicles at Unsignalized Intersections: Safety and Efficiency Implications of Mixed Human and Automated Traffic
por: Rahmani, Saeed, et al.
Publicado: (2024)

Beyond Conservative Automated Driving in Multi-Agent Scenarios via Coupled Model Predictive Control and Deep Reinforcement Learning
por: Rahmani, Saeed, et al.
Publicado: (2026)

Decentralized Modeling of Vehicular Maneuvers and Interactions at Urban Junctions
por: Rahmani, Saeed, et al.
Publicado: (2025)

Hybrid Human-Machine Perception via Adaptive LiDAR for Advanced Driver Assistance Systems
por: Scarì, Federico, et al.
Publicado: (2025)

Edge Case Detection in Automated Driving: Methods, Challenges and Future Directions
por: Rahmani, Saeed, et al.
Publicado: (2024)

Towards Developing Socially Compliant Automated Vehicles: Advances, Expert Insights, and A Conceptual Framework
por: Dong, Yongqi, et al.
Publicado: (2025)

Artificial Intelligence for Modeling and Simulation of Mixed Automated and Human Traffic
por: Rahmani, Saeed, et al.
Publicado: (2026)

Adaptive Time Budgets for Safe and Comfortable Vehicle Control Transition in Conditionally Automated Driving
por: Liang, Kexin, et al.
Publicado: (2025)

Multidimensional Assessment of Takeover Performance in Conditionally Automated Driving
por: Liang, Kexin, et al.
Publicado: (2025)

How Much Is Too Much? Adaptive, Context-Aware Risk Detection in Naturalistic Driving
por: Kalantari, Amir Hossein, et al.
Publicado: (2025)

In the driver's mind: modeling the dynamics of human overtaking decisions in interactions with oncoming automated vehicles
por: Mohammad, Samir H. A., et al.
Publicado: (2024)

Are you sure? Modelling Drivers' Confidence Judgments in Left-Turn Gap Acceptance Decisions
por: Bontje, Floor, et al.
Publicado: (2024)

Driving pattern interpretation based on action phases clustering
por: Yao, Xue, et al.
Publicado: (2024)

Body and Reality
por: van Buuren, Jasper
Publicado: (2025)

Predicting missing values: A good idea?
por: van Buuren, Stef
Publicado: (2026)

LLMs as Implicit Imputers: Uncertainty Should Scale with Missing Information
por: van Buuren, Stef
Publicado: (2026)

Intelligent Anomaly Detection for Lane Rendering Using Transformer with Self-Supervised Pre-Training and Customized Fine-Tuning
por: Dong, Yongqi, et al.
Publicado: (2023)

Impact of Trip Distance Distribution Time Dependency and Aggregation Levels in Bathtub Models -- A Comparative Simulation Analysis
por: Guo, Jiayi, et al.
Publicado: (2024)

The COMMOTIONS Urban Interactions Driving Simulator Study Dataset
por: Srinivasan, Aravinda Ramakrishnan, et al.
Publicado: (2023)

D-score/dscore: dscore 2.1.0
por: Stef van Buuren, et al.
Publicado: (2026)

D-score/dscore: dscore 1.11.0
por: Stef van Buuren, et al.
Publicado: (2025)

D-score/dscore: dscore 1.11.0
por: Stef van Buuren, et al.
Publicado: (2025)

Random Indicator Imputation for Missing Not At Random Data
por: Jolani, Shahab, et al.
Publicado: (2024)

Knowing When to Move: Evidence Accumulation Models of Human Behavior in Traffic
por: Bontje, Floor, et al.
Publicado: (2026)

Risk Estimation for Automated Driving
por: Tolksdorf, Leon, et al.
Publicado: (2026)

Designing a Robust and Cost-Efficient Electrified Bus Network with Sparse Energy Consumption Data
por: Momen, Sara, et al.
Publicado: (2025)

Principles and Framework for the Operationalisation of Meaningful Human Control over Autonomous Systems
por: Calvert, Simeon C.
Publicado: (2025)

Structure-preserving contrastive learning for spatial time series
por: Jiao, Yiru, et al.
Publicado: (2025)

General-purpose LLMs as Models of Human Driver Behavior: The Case of Simplified Merging
por: Mohammad, Samir H. A., et al.
Publicado: (2026)

HIMCE: High-dimensional multiple imputation via covariance-mode updating for neuroimaging and spatiotemporal blocks
por: Huang, Hsin-Hsiung, et al.
Publicado: (2026)

Learning collision risk proactively from naturalistic driving data at scale
por: Jiao, Yiru, et al.
Publicado: (2025)

A Unified Probabilistic Approach to Traffic Conflict Detection
por: Jiao, Yiru, et al.
Publicado: (2024)

Safe Spot: Perceived safety of dominant and submissive appearances of quadruped robots in human-robot interactions
por: Hashimoto, Nanami, et al.
Publicado: (2024)