:: Library Catalog

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Bibliográfalaš dieđut
Váldodahkkit:	Xu, Dongyang, Luo, Yiran, Lu, Tianle, Wang, Qingfan, Zhou, Qing, Nie, Bingbing
Materiálatiipa:	Preprint
Almmustuhtton:	2024
Fáttát:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
Liŋkkat:	https://arxiv.org/abs/2408.01774
Fáddágilkorat:	Lasit fáddágilkoriid Eai fáddágilkorat, Lasit vuosttaš fáddágilkora!

Geahča maid

Risk-Aware Vehicle Trajectory Prediction Under Safety-Critical Scenarios
Dahkki: Wang, Qingfan, et al.
Almmustuhtton: (2024)

AHMF: Adaptive Hybrid-Memory-Fusion Model for Driver Attention Prediction
Dahkki: Xu, Dongyang, et al.
Almmustuhtton: (2024)

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

Identifying Spatio-Temporal Drivers of Extreme Events
Dahkki: Eddin, Mohamad Hakam Shams, et al.
Almmustuhtton: (2024)

A Prototypical Network with an Attention-based Encoder for Drivers Identification Application
Dahkki: Lee, Wei-Hsun, et al.
Almmustuhtton: (2025)

Fusing Driver Perceived and Physical Risk for Safety Critical Scenario Screening in Autonomous Driving
Dahkki: Xiong, Chen, et al.
Almmustuhtton: (2026)

Coastal Hypoxia in the Indian Ocean: Unraveling Drivers of Spatio‐Temporal Variability
Dahkki: Fan Yang, et al.
Almmustuhtton: (2025)

FBLNet: FeedBack Loop Network for Driver Attention Prediction
Dahkki: Chen, Yilong, et al.
Almmustuhtton: (2022)

Gland Segmentation Via Dual Encoders and Boundary-Enhanced Attention
Dahkki: Wang, Huadeng, et al.
Almmustuhtton: (2024)

Spatio-Temporal Graph Dual-Attention Network for Multi-Agent Prediction and Tracking
Dahkki: Li, Jiachen, et al.
Almmustuhtton: (2021)

Simulation Design for Velocity-Controlled Spatio-Temporal Drivers in Laser Wakefield Acceleration
Dahkki: Badiali, Chiara, et al.
Almmustuhtton: (2026)

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation
Dahkki: Xie, Yichen, et al.
Almmustuhtton: (2025)

Where, What, Why: Towards Explainable Driver Attention Prediction
Dahkki: Zhou, Yuchen, et al.
Almmustuhtton: (2025)

When Safety Technologies Backfire: How Monitoring Affects Drivers' Safety Behavior
Dahkki: Satabdi Hazarika, et al.
Almmustuhtton: (2026)

Spatio-Temporal Attention Network for Epileptic Seizure Prediction
Dahkki: Li, Zan, et al.
Almmustuhtton: (2025)

Personalizing Driver Safety Interfaces via Driver Cognitive Factors Inference
Dahkki: Sumner, Emily S, et al.
Almmustuhtton: (2024)

Large Language Models for Pedestrian Safety: An Application to Predicting Driver Yielding Behavior at Unsignalized Intersections
Dahkki: Yang, Yicheng, et al.
Almmustuhtton: (2025)

Driver Attention Tracking and Analysis
Dahkki: Nguyen, Dat Viet Thanh, et al.
Almmustuhtton: (2024)

Lateral Driver‐Automation Driver Authority Decision Considering Safety of the Intended Functionality
Dahkki: Huiran Wang, et al.
Almmustuhtton: (2024)

LiteFat: Lightweight Spatio-Temporal Graph Learning for Real-Time Driver Fatigue Detection
Dahkki: Ren, Jing, et al.
Almmustuhtton: (2025)

Identifying Key Drivers of Heatwaves: A Novel Spatio-Temporal Framework for Extreme Event Detection
Dahkki: Pérez-Aracil, J., et al.
Almmustuhtton: (2024)

DriverGaze360: OmniDirectional Driver Attention with Object-Level Guidance
Dahkki: Govil, Shreedhar, et al.
Almmustuhtton: (2025)

DAOS: A Multimodal In-cabin Behavior Monitoring with Driver Action-Object Synergy Dataset
Dahkki: Li, Yiming, et al.
Almmustuhtton: (2026)

Predicting Drivers' Route Trajectories in Last-Mile Delivery Using A Pair-wise Attention-based Pointer Neural Network
Dahkki: Mo, Baichuan, et al.
Almmustuhtton: (2023)

Driver Behavior Modeling with Subjective Risk‐Driven Inverse Reinforcement Learning
Dahkki: Yang Liang, et al.
Almmustuhtton: (2026)

Towards the Safety-Relevant Dimension of Driver Behaviour: A Dual-State Model
Dahkki: Al-Haideri, Rulla, et al.
Almmustuhtton: (2025)

A Two-stage Transformer Framework for Temporal Localization of Distracted Driver Behaviors
Dahkki: Doan, Gia-Bao, et al.
Almmustuhtton: (2026)

Driver Digital Twin for Online Prediction of Personalized Lane Change Behavior
Dahkki: Liao, Xishun, et al.
Almmustuhtton: (2022)

A Taxonomy and Review of Algorithms for Modeling and Predicting Human Driver Behavior
Dahkki: Bhattacharyya, Raunak P., et al.
Almmustuhtton: (2020)

Quantum Network-Based Prediction of Cancer Driver Genes
Dahkki: Marques, Patricia, et al.
Almmustuhtton: (2025)

Analyzing the Drivers of Spatio‐Temporal Riparian Vegetation Variability in a Dam‐Reservoir‐River System From Remotely Sensed Data
Dahkki: Yingying Zhang, et al.
Almmustuhtton: (2025)

SEIDM: A Safe and Efficient Intelligent Driver Model for Autonomous Driving Behavior
Dahkki: Yao, Yuyang, et al.
Almmustuhtton: (2026)

Understanding Driver Cognition and Decision-Making Behaviors in High-Risk Scenarios: A Drift Diffusion Perspective
Dahkki: Huang, Heye, et al.
Almmustuhtton: (2025)

A Driver-Vehicle Model for ADS Scenario-based Testing
Dahkki: Queiroz, Rodrigo, et al.
Almmustuhtton: (2022)

Spatio-Temporal Attention Graph Neural Network for Remaining Useful Life Prediction
Dahkki: Huang, Zhixin, et al.
Almmustuhtton: (2024)

Continual Learning for Behavior-based Driver Identification
Dahkki: Fanan, Mattia, et al.
Almmustuhtton: (2024)

Detecting Driver Fatigue With Eye Blink Behavior
Dahkki: Akin, Ali, et al.
Almmustuhtton: (2024)

Incorporating Test-Time Optimization into Training with Dual Networks for Human Mesh Recovery
Dahkki: Nie, Yongwei, et al.
Almmustuhtton: (2024)

Hierarchical Spatio-Temporal Attention Network with Adaptive Risk-Aware Decision for Forward Collision Warning in Complex Scenarios
Dahkki: Hu, Haoran, et al.
Almmustuhtton: (2025)

Revealing Deep Learning Model Preferences for Spatio‐Temporal Drivers of Runoff Forecasting: A SHAP ‐Based Comparative Study
Dahkki: Ziru Yang, et al.
Almmustuhtton: (2026)