3 citations · 7 across the 5 of their papers we have counts for
5 papers · 1 filter
Application of 2D Homography for High Resolution Traffic Data Collection using CCTV Cameras
Linlin Zhang, Xiang Yu, Abdulateef Daud +2
Traffic cameras remain the primary source data for surveillance activities such as congestion and incident monitoring. To date, State agencies continue to rely on manual effort to…
DeepSegmenter: Temporal Action Localization for Detecting Anomalies in Untrimmed Naturalistic Driving Videos
Armstrong Aboah, Ulas Bagci, Abdul Rashid Mussah +2
Identifying unusual driving behaviors exhibited by drivers during driving is essential for understanding driver behavior and the underlying causes of crashes. Previous studies have…
AI-Based Framework for Understanding Car Following Behaviors of Drivers in A Naturalistic Driving Environment
Armstrong Aboah, Abdul Rashid Mussah, Yaw Adu-Gyamfi
The most common type of accident on the road is a rear-end crash. These crashes have a significant negative impact on traffic flow and are frequently fatal. To gain a more practica…
Deep Learning Frameworks for Pavement Distress Classification: A Comparative Analysis
Vishal Mandal, Abdul Rashid Mussah, Yaw Adu-Gyamfi
Automatic detection and classification of pavement distresses is critical in timely maintaining and rehabilitating pavement surfaces. With the evolution of deep learning and high p…
Artificial Intelligence Enabled Traffic Monitoring System
Vishal Mandal, Abdul Rashid Mussah, Peng Jin +1
Manual traffic surveillance can be a daunting task as Traffic Management Centers operate a myriad of cameras installed over a network. Injecting some level of automation could help…