292 citations · 527 across the 24 of their papers we have counts for
25 papers
A VLM-Enhanced Framework for Comprehensive Traffic Sign Condition Assessment Integrating Daytime Visual Performance and Nighttime Retroreflectivity Evaluation
Linlin Zhang, Neema Jakisa Owor, Xiang Yu +2
Traffic signs are crucial components of road safety, serving as visual tools under all lighting conditions. The Manual on Uniform Traffic Control Devices (MUTCD) specifies daytime…
A Unified Detection Pipeline for Robust Object Detection in Fisheye-Based Traffic Surveillance
Neema Jakisa Owor, Joshua Kofi Asamoah, Tanner Wambui Muturi +5
Fisheye cameras offer an efficient solution for wide-area traffic surveillance by capturing large fields of view from a single vantage point. However, the strong radial distortion…
Prompt-Guided Spatial Understanding with RGB-D Transformers for Fine-Grained Object Relation Reasoning
Tanner Muturi, Blessing Agyei Kyem, Joshua Kofi Asamoah +5
Spatial reasoning in large-scale 3D environments such as warehouses remains a significant challenge for vision-language systems due to scene clutter, occlusions, and the need for p…
Task-Specific Dual-Model Framework for Comprehensive Traffic Safety Video Description and Analysis
Blessing Agyei Kyem, Neema Jakisa Owor, Andrews Danyo +6
Traffic safety analysis requires complex video understanding to capture fine-grained behavioral patterns and generate comprehensive descriptions for accident prevention. In this wo…
PaveSAM Segment Anything for Pavement Distress
Neema Jakisa Owor, Yaw Adu-Gyamfi, Armstrong Aboah +1
Automated pavement monitoring using computer vision can analyze pavement conditions more efficiently and accurately than manual methods. Accurate segmentation is essential for quan…
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…
3D Object Detection and High-Resolution Traffic Parameters Extraction Using Low-Resolution LiDAR Data
Linlin Zhang, Xiang Yu, Armstrong Aboah +1
Traffic volume data collection is a crucial aspect of transportation engineering and urban planning, as it provides vital insights into traffic patterns, congestion, and infrastruc…
Image2PCI -- A Multitask Learning Framework for Estimating Pavement Condition Indices Directly from Images
Neema Jakisa Owor, Hang Du, Abdulateef Daud +2
The Pavement Condition Index (PCI) is a widely used metric for evaluating pavement performance based on the type, extent and severity of distresses detected on a pavement surface.…
Edge Computing-Enabled Road Condition Monitoring: System Development and Evaluation
Abdulateef Daud, Mark Amo-Boateng, Neema Jakisa Owor +2
Real-time pavement condition monitoring provides highway agencies with timely and accurate information that could form the basis of pavement maintenance and rehabilitation policies…
MobiScout: A Scalable Cloud-Based Driving and Activity Monitoring Platform Featuring an IOS App and a WatchOS Extension
Kojo Konadu Adu-Gyamfi, Karo Ahmadi-Dehrashid, Yaw Okyere Adu-Gyamfi +2
MobiScout is an iOS software that monitors users' driving habits and physiological conditions while on the road. The Mobiscout app was created to provide a low-cost next-generation…
Accelerating Statewide Connected Vehicles Big (Sensor Fusion) Data ETL Pipelines on GPUs
Abdul Rashid Mussah, Maged Shoman, Mark Amo-Boateng +1
Real-time traffic and sensor data from connected vehicles have the potential to provide insights that will lead to the immediate benefit of efficient management of the transportati…
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…
Real-time Multi-Class Helmet Violation Detection Using Few-Shot Data Sampling Technique and YOLOv8
Armstrong Aboah, Bin Wang, Ulas Bagci +1
Traffic safety is a major global concern. Helmet usage is a key factor in preventing head injuries and fatalities caused by motorcycle accidents. However, helmet usage violations c…
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…
GC-GRU-N for Traffic Prediction using Loop Detector Data
Maged Shoman, Armstrong Aboah, Abdulateef Daud +1
Because traffic characteristics display stochastic nonlinear spatiotemporal dependencies, traffic prediction is a challenging task. In this paper develop a graph convolution gated…
Driver Maneuver Detection and Analysis using Time Series Segmentation and Classification
Armstrong Aboah, Yaw Adu-Gyamfi, Senem Velipasalar Gursoy +3
The current paper implements a methodology for automatically detecting vehicle maneuvers from vehicle telemetry data under naturalistic driving settings. Previous approaches have t…
The 1st Data Science for Pavements Challenge
Ashkan Behzadian, Tanner Wambui Muturi, Tianjie Zhang +13
The Data Science for Pavement Challenge (DSPC) seeks to accelerate the research and development of automated vision systems for pavement condition monitoring and evaluation by prov…
A Region-Based Deep Learning Approach to Automated Retail Checkout
Maged Shoman, Armstrong Aboah, Alex Morehead +3
Automating the product checkout process at conventional retail stores is a task poised to have large impacts on society generally speaking. Towards this end, reliable deep learning…
Mobile Sensing for Multipurpose Applications in Transportation
Armstrong Aboah, Michael Boeding, Yaw Adu-Gyamfi
Routine and consistent data collection is required to address contemporary transportation issues.The cost of data collection increases significantly when sophisticated machines are…
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…
Deep Machine Learning Approach to Develop a New Asphalt Pavement Condition Index
Hamed Majidifard, Yaw Adu-Gyamfi, William G. Buttlar
Automated pavement distress detection via road images is still a challenging issue among pavement researchers and computer-vision community. In recent years, advancement in deep le…