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Found 4 papers, 1 papers with code
Deep Learning Frameworks for Pavement Distress Classification: A Comparative Analysis
In this study, the authors deploy state-of-the-art deep learning algorithms based on different network backbones to detect and characterize pavement distresses.
Object Detection and Tracking Algorithms for Vehicle Counting: A Comparative Analysis
In this paper, the authors deploy several state of the art object detection and tracking algorithms to detect and track different classes of vehicles in their regions of interest (ROI).
Artificial Intelligence Enabled Traffic Monitoring System
Real-time object detection algorithms coupled with different tracking systems are deployed to automatically detect stranded vehicles as well as perform vehicular counts.
A Vision-based System for Traffic Anomaly Detection using Deep Learning and Decision Trees
Our approach included creating a detection model, followed by anomaly detection and analysis.
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