Author

Nnanna Ekedebe

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Open access Sep 2026

Comparative Benchmarking of YOLOv8 Variants for Traffic Sign Detection

Road traffic accidents remain a leading cause of injury and death worldwide, and driver failure to correctly identify traffic signs is a significant contributing factor. Many devastating and deadly road traffic incidents are directly linked to poor sign recognition, particularly in Nigerian and developing-region road c...

Nnanna Ekedebe · American Journal of Traffic... · 0 citations

Open access Sep 2026

Pothole Localization Using Fine-Tuned YOLOv8n for Road Maintenance Prioritization in Resource-Constrained Regions

There is a significant safety and infrastructure challenge in resource-constrained regions like Nigeria and Africa posed by damaged roads and potholes. Over 70% of Nigeria's paved roads are damaged, and this contributes to road accidents and high vehicle repair costs. The current method of road inspection is manual, wh...

Nnanna Ekedebe · American Journal of Data Min... · 0 citations

Open access Sep 2026

Benchmarking YOLOv8 Variants for Automated Infrastructure Assessment

Structural cracks in buildings and bridges pose a serious safety concern in Nigeria, with manual inspection methods being slow, subjective and impractical at scale. Undetected structural cracks can lead to building collapses, which have become a recurring and deadly problem in Nigeria's construction sector. This study...

Nnanna Ekedebe · American Journal of Civil En... · 0 citations