15 citations · 53 across the 12 of their papers we have counts for
14 papers
The 6th AI City Challenge
Milind Naphade, Shuo Wang, David C. Anastasiu +14
The 6th edition of the AI City Challenge specifically focuses on problems in two domains where there is tremendous unlocked potential at the intersection of computer vision and art…
Automated Approach for Computer Vision-based Vehicle Movement Classification at Traffic Intersections
Udita Jana, Jyoti Prakash Das Karmakar, Pranamesh Chakraborty +4
Movement specific vehicle classification and counting at traffic intersections is a crucial component for various traffic management activities. In this context, with recent advanc…
ndsintxn: An R Package for Extracting Information from Naturalistic Driving Data to Support Driver Behavior Analyses at Intersections
Ashirwad Barnwal, Jennifer Merickel, Matthew Rizzo +3
The use of naturalistic driving studies (NDSs) for driver behavior research has skyrocketed over the past two decades. Intersections are a key target for traffic safety, with up to…
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…
A data-driven personalized smart lighting recommender system
Atousa Zarindast, Jonathan Wood, Anuj Sharma
Recommender systems attempts to identify and recommend the most preferable item (product-service) to an individual user. These systems predict user interest in items based on relat…
Sugar and Stops in Drivers with Insulin-Dependent Type 1 Diabetes
Ashirwad Barnwal, Pranamesh Chakraborty, Anuj Sharma +6
Diabetes is a major public health challenge worldwide. Abnormal physiology in diabetes, particularly hypoglycemia, can cause driver impairments that affect safe driving. While diab…