Research
Overview
Methodological Challenges & Objectives
P1. Traffic Quantification and Stratification
In P1, we aims to develop novel tools for traffic quantification and stratification based on traffic video data, with potential applications to modelling traffic, analyzing policy and improving health.
We are particularly interested in hybrid mathematical methods and machine learning approaches that are robust and able generalize well for the complex traffic scenes and different video data.
Social media & outreach
PLUS Magazine Articles
Seeing traffic through new eyes
https://plus.maths.org/content/seeing-traffic-through-new-eyes
Understanding the diversity of forests using AI
https://plus.maths.org/content/understanding-biodiversity-forests-using-ai
Podcast
New ways of seeing with the INTEGRAL project
https://plus.maths.org/content/new-ways-seeing-integral-project
Published datasets
Conference / workshop events
Workshop at SIAM Conference on Computational Science and Engineering (2021)
Tutorial session at International Geoscience and Remote Sensing Symposium 2021 (together with German Aerospace Center and TUM)
Workshop at SIAM Conference on Imaging Science (2022)