2 citations · 2 across the 3 of their papers we have counts for
4 papers · 1 filter
A Vision-based System for Traffic Anomaly Detection using Deep Learning and Decision Trees
Armstrong Aboah, Maged Shoman, Vishal Mandal +3
Any intelligent traffic monitoring system must be able to detect anomalies such as traffic accidents in real time. In this paper, we propose a Decision-Tree - enabled approach powe…
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…
Object Detection and Tracking Algorithms for Vehicle Counting: A Comparative Analysis
Vishal Mandal, Yaw Adu-Gyamfi
The rapid advancement in the field of deep learning and high performance computing has highly augmented the scope of video based vehicle counting system. In this paper, the authors…