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)