no code implementations • 14 Jan 2024 • Linlin Zhang, Xiang Yu, Abdulateef Daud, Abdul Rashid Mussah, Yaw Adu-Gyamfi
This study implements a three-stage video analytics framework for extracting high-resolution traffic data such vehicle counts, speed, and acceleration from infrastructure-mounted CCTV cameras.
no code implementations • 13 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.
no code implementations • 23 Jan 2023 • Armstrong Aboah, Abdul Rashid Mussah, Yaw Adu-Gyamfi
Furthermore, most studies are restricted to modeling the ego vehicle's acceleration, which is insufficient to explain the behavior of the ego vehicle.
1 code implementation • 21 Oct 2020 • Vishal Mandal, Abdul Rashid Mussah, Yaw Adu-Gyamfi
In this study, the authors deploy state-of-the-art deep learning algorithms based on different network backbones to detect and characterize pavement distresses.
no code implementations • 2 Oct 2020 • Vishal Mandal, Abdul Rashid Mussah, Peng Jin, Yaw Adu-Gyamfi
Real-time object detection algorithms coupled with different tracking systems are deployed to automatically detect stranded vehicles as well as perform vehicular counts.