3 papers
cs.LG2026
Unveiling Stochasticity: Universal Multi-modal Probabilistic Modeling for Traffic Forecasting
Weijiang Xiong, Robert Fonod, Nikolas Geroliminis
Traffic forecasting is a challenging spatio-temporal modeling task and a critical component of urban transportation management. Current studies mainly focus on deterministic predic…
cs.LG2025
Multi-Source Urban Traffic Flow Forecasting with Drone and Loop Detector Data
Weijiang Xiong, Robert Fonod, Alexandre Alahi +1
Traffic forecasting is a fundamental task in transportation research, however the scope of current research has mainly focused on a single data modality of loop detectors. Recently…
cs.CV2024
Advanced computer vision for extracting georeferenced vehicle trajectories from drone imagery
Robert Fonod, Haechan Cho, Hwasoo Yeo +1
This paper presents a framework for extracting georeferenced vehicle trajectories from high-altitude drone imagery, addressing key challenges in urban traffic monitoring and the li…