Author

M. Elhenawy

3 papers indexed here

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#explainable ai Open access Sep 2026

A context-aware and human-centered framework for road safety assessment using semantic scene understanding

Assessing perceived road safety from street imagery remains a challenge because human judgments depend on infrastructure, context, and subjective interpretation. Current computer vision methods focus on object detection and semantic segmentation, with limited attention given to human-centric safety. This study prop...

Imad Tbaileh, Ahmed Radwan, Oroob Yaseen et al. · Frontiers in Future Transpor... · 0 citations

#small language model Open access Sep 2026

Toward Sustainable Urban Mobility: A Multimodal Large Language Model (MLLM) Framework for Automated Driver Performance Assessment with YOLOv8-Based Scene Detection

An exploratory proof-of-concept framework for automated driver evaluation that combines real-world dashcam footage, YOLOv8-based object detection, and multimodal large language models (MLLMs), specifically Gemini 1.5 Flash is presented.

Mamatha Byreddy, Yara Zayed, Anas M. R. Alsobeh et al. · Infrastructures · 0 citations

Open access 2026

Explainability in Automated Driving: From Spatial Attention to Human-Centred Reasoning

Automated Vehicles (AVs) are developing rapidly and promise to improve road safety. AV systems are equipped with advanced AI techniques to perceive, learn, decide, and act, yet the decision-making process underpinned by complex AI constitutes a black box for human users. While human understanding of AI-based decision-m...

A. Rakotonirainy, A. Y. Zadeh, Zishuo Zhu et al. · AHFE International · 0 citations