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cs.CV2026

Vision-Language Foundation Models for Comprehensive Automated Pavement Condition Assessment

Blessing Agyei Kyem, Joshua Kofi Asamoah, Anthony Dontoh +1

General-purpose vision-language models demonstrate strong performance in everyday domains but struggle with specialized technical fields requiring precise terminology, structured r…

cs.CV2025

A Contextual Analysis of Driver-Facing and Dual-View Video Inputs for Distraction Detection in Naturalistic Driving Environments

Anthony Dontoh, Stephanie Ivey, Armstrong Aboah

Despite increasing interest in computer vision-based distracted driving detection, most existing models rely exclusively on driver-facing views and overlook crucial environmental c…

cs.CV2025

Task-Specific Dual-Model Framework for Comprehensive Traffic Safety Video Description and Analysis

Blessing Agyei Kyem, Neema Jakisa Owor, Andrews Danyo +6

Traffic safety analysis requires complex video understanding to capture fine-grained behavioral patterns and generate comprehensive descriptions for accident prevention. In this wo…

cs.CV20251 cited

Visual Dominance and Emerging Multimodal Approaches in Distracted Driving Detection: A Review of Machine Learning Techniques

Anthony Dontoh, Stephanie Ivey, Logan Sirbaugh +2

Distracted driving continues to be a significant cause of road traffic injuries and fatalities worldwide, even with advancements in driver monitoring technologies. Recent developme…

cs.CV2025

An Improved ResNet50 Model for Predicting Pavement Condition Index (PCI) Directly from Pavement Images

Andrews Danyo, Anthony Dontoh, Armstrong Aboah

Accurately predicting the Pavement Condition Index (PCI), a measure of roadway conditions, from pavement images is crucial for infrastructure maintenance. This study proposes an en…

cs.CV2025

A Review Paper of the Effects of Distinct Modalities and ML Techniques to Distracted Driving Detection

Anthony. Dontoh, Stephanie. Ivey, Logan. Sirbaugh +1

Distracted driving remains a significant global challenge with severe human and economic repercussions, demanding improved detection and intervention strategies. While previous stu…