15 citations · 38 across the 10 of their papers we have counts for
10 papers
Low-Light Image Enhancement Framework for Improved Object Detection in Fisheye Lens Datasets
Dai Quoc Tran, Armstrong Aboah, Yuntae Jeon +3
This study addresses the evolving challenges in urban traffic monitoring detection systems based on fisheye lens cameras by proposing a framework that improves the efficacy and acc…
Enhancing Traffic Safety with Parallel Dense Video Captioning for End-to-End Event Analysis
Maged Shoman, Dongdong Wang, Armstrong Aboah +1
This paper introduces our solution for Track 2 in AI City Challenge 2024. The task aims to solve traffic safety description and analysis with the dataset of Woven Traffic Safety (W…
Image2PCI -- A Multitask Learning Framework for Estimating Pavement Condition Indices Directly from Images
Neema Jakisa Owor, Hang Du, Abdulateef Daud +2
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.…
Edge Computing-Enabled Road Condition Monitoring: System Development and Evaluation
Abdulateef Daud, Mark Amo-Boateng, Neema Jakisa Owor +2
Real-time pavement condition monitoring provides highway agencies with timely and accurate information that could form the basis of pavement maintenance and rehabilitation policies…
GazeSAM: What You See is What You Segment
Bin Wang, Armstrong Aboah, Zheyuan Zhang +1
This study investigates the potential of eye-tracking technology and the Segment Anything Model (SAM) to design a collaborative human-computer interaction system that automates med…
Real-Time Helmet Violation Detection Using YOLOv5 and Ensemble Learning
Geoffery Agorku, Divine Agbobli, Vuban Chowdhury +4
The proper enforcement of motorcycle helmet regulations is crucial for ensuring the safety of motorbike passengers and riders, as roadway cyclists and passengers are not likely to…