News
News & Updates
Stay updated with our latest developments, including new publications, grants, awards, and research achievements.
News
Stay updated with our latest developments, including new publications, grants, awards, and research achievements.
Our technical paper "Demographic-Informed Neural Network for Multi-Modal Spatiotemporal Forecasting of Urban Growth and Travel Patterns Using Satellite Imagery" was accepted for publication in ASCEs Journal of Transportation Engineering, Part A: Systems.
Our paper "Multi-Task Crack Foundation Model for Engineering - Reliable Crack Representation and Topology Preservation in Civil Infrastructure" was accepted for publication in Automation in Construction Journal.
Our paper "MSMT: A Memory-Augmented Transformer with Multi-Scale Spatio-Temporal Modeling for Network-Wide Traffic Flow Prediction" was accepted for publication in IET Intelligent Transport Systems.
Our paper "QueryMotion: A Modular Framework for Natural Language-Based Vehicle Retrieval via Attribute and Motion Reasoning" was accepted for publication in IEEE Transactions on Intelligent Transportation Systems.
Joshua Asamoah's team placed 2nd and Eugene Denteh's team placed 3rd at the UAV hackathon focused on using drones for weed detection in agriculture. A proud achievement showcasing the lab's versatility in applying computer vision beyond transportation.
Our paper "PaveCap: A Multimodal Framework for Comprehensive Pavement Condition Assessment with Dense Captioning and PCI Estimation" was accepted for publication in the Journal of Transportation Engineering, Part B: Pavements.
Our paper "Advancing Pavement Distress Detection in Developing Countries: A Novel Deep Learning Approach with Locally-Collected Datasets" was accepted for publication in the Advances in Data Science and Adaptive Analysis journal.