BACKGROUND Exposure metrics that identify spatial contrasts in multipollutant air quality are needed to better understand multipollutant geographies and health effects from air pollution. Our aim is to improve understanding of: (1) long-term spatial distributions of multiple pollutants; and (2) demographic characteristics of populations residing within areas of differing air quality. METHODS ...

The research on the grid size suitability is important to provide improvement in accuracies of gridded population distribution. It contributes to reveal the actual spatial distribution of population. However, currently little research has been done in this area. Many well-modeled gridded population dataset are basically built at a single grid scale. If the grid cell size is not appropriate, it ...

The subject of this thesis is belief function theory and its application in different contexts. Belief function theory (also known as Dempster-Shafer theory) is a mathematical framework for describing quantified beliefs held by an agent. It can be interpreted as a generalization of Bayesian probability theory and makes it possible to distinguish between different types of uncertainty. In partic...

For autonomous driving vehicles, highly accurate representations of the environment are essential for both trajectory planning and self-localization. Different possibilities allow to generate detailed maps based on chirp-sequence radar sensors advanced driver assistance systems (ADASs). first time, this letter shows a qualitative comparison between synthetic aperture (SAR)- occupancy grid map (...

The presence of mobile robots in indoor environments is becoming increasingly significant. While there are algorithms such as SLAM that allow to navigate these environments, they do not take into account structural elements modern buildings large glass areas. Due the use light-based sensors laser scans, only visible at few incident angles, so seen noise by algorithms. In this work, reflective s...