Search Results for author: Neema Jakisa Owor

Found 3 papers, 0 papers with code

Image2PCI -- A Multitask Learning Framework for Estimating Pavement Condition Indices Directly from Images

no code implementations12 Oct 2023 Neema Jakisa Owor, Hang Du, Abdulateef Daud, Armstrong Aboah, Yaw Adu-Gyamfi

The Pavement Condition Index (PCI) is a widely used metric for evaluating pavement performance based on the type, extent and severity of distresses detected on a pavement surface.

Segmentation

Edge Computing-Enabled Road Condition Monitoring: System Development and Evaluation

no code implementations9 Oct 2023 Abdulateef Daud, Mark Amo-Boateng, Neema Jakisa Owor, Armstrong Aboah, Yaw Adu-Gyamfi

Overall, our proposed device demonstrates significant potential in providing real-time pavement condition data to State Highway Agencies (SHA) and Department of Transportation (DOTs) with a satisfactory level of accuracy.

Edge-computing

DeepSegmenter: Temporal Action Localization for Detecting Anomalies in Untrimmed Naturalistic Driving Videos

no code implementations13 Apr 2023 Armstrong Aboah, Ulas Bagci, Abdul Rashid Mussah, Neema Jakisa Owor, Yaw Adu-Gyamfi

Identifying unusual driving behaviors exhibited by drivers during driving is essential for understanding driver behavior and the underlying causes of crashes.

Classification Segmentation +1

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