6 citations · 11 across the 5 of their papers we have counts for
5 papers
DRAFE: Domain-Robust Asymmetric Fusion of Heterogeneous Detection Transformers for Cross-City Fine-Grained Traffic Object Detection
Divine Yao Agbobli, Geoffery Eyram Agorku, Israel Afriyie +6
Deep learning-based object detectors are fundamental to intelligent transportation systems, enabling traffic monitoring, vehicle analytics, and infrastructure management. However,…
Predicting Barge Tow Size on Inland Waterways Using Vessel Trajectory Derived Features: Proof of Concept
Geoffery Agorku, Sarah Hernandez, Hayley Hames +1
Accurate, real-time estimation of barge quantity on inland waterways remains a critical challenge due to the non-self-propelled nature of barges and the limitations of existing mon…
Enhancing Maritime Domain Awareness on Inland Waterways: A YOLO-Based Fusion of Satellite and AIS for Vessel Characterization
Geoffery Agorku, Sarah Hernandez, Hayley Hames +1
Maritime Domain Awareness (MDA) for inland waterways remains challenged by cooperative system vulnerabilities. This paper presents a novel framework that fuses high-resolution sate…
Traffic Cameras to detect inland waterway barge traffic: An Application of machine learning
Geoffery Agorku, Sarah Hernandez PhD, Maria Falquez +2
Inland waterways are critical for freight movement, but limited means exist for monitoring their performance and usage by freight-carrying vessels, e.g., barges. While methods to t…
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…