Category: Publications
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Inferencing indoor room semantics using random forest and relational graph convolutional networks (deep learning)
Semantically rich maps are the foundation of indoor location‐based services. Many map providers such as OpenStreetMap and automatic mapping solutions focus on the representation and detection of geometric information (e.g., shape of room) and a few semantics (e.g., stairs and furniture) but often still neglect room usage. To mitigate the issue, a new published paper…
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OSM Missing Areas Identification paper is featured in August by ISPRS Journal of Photogrammetry and Remote Sensing
We are pleased that our article has been selected by the editors of ISPRS Journal of Photogrammetry and Remote Sensing as the featured Article in August 2020. This means it will be available open access for 1 year. Get your copy here and enjoy a nice summer reading: Li, H., B. Herfort, W. Huang, M. Zia,…
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Hitzebelastung in der Heidelberger Bahnstadt – Interview mit Kathrin Foshag
Die große Hitzebelastung durch steigende Temperaturen und eine zunehmende Zahl heißer Tage in Städten wird derzeit auch wieder in Heidelberg spürbar. In einem aktuellen Beitrag des SWR betont Dr. Kathrin Foshag die große Bedeutung von städtebaulichen Beschattungsmaßnahmen, um die enorme Hitzebelastung auf öffentlichen Plätzen zu reduzieren. Link zum Beitrag Dr. Kathrin Foshag erforschte in ihrem…
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MAN & MACHINE portrayed in the Forschungsmagazin “Ruperto Carola”
Can the human brain be described as a kind of machine – and, by extension, human memory as a time machine? What do software and the human mind have in common, and what are the ethical dilemmas involved in the use of artificial intelligence (AI)? Neurobiologist Hannah Monyer and geoinformatics expert Bernhard Höfle present talking…
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Relationships between Incidental Physical Activity, Exercise, and Sports with subsequent Mood in Adolescents
Physical activity is beneficial for human physical health and well‐being. Accordingly, the association between physical activity and mood in everyday life has been a subject of several Ambulatory Assessment studies. This mechanism has been studied in children, adults and the elderly, but neglected in adolescents. It is critical to examine this mechanism in adolescents because…
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GIScience for physical activity research
GIScience methods are becoming more and more widespread in different domains. A current review article under involvement of HeiGIT researchers discusses the potential of ambulatory assessments and GIScience approaches for physical activity research. The article is on of the outcomes of the 2nd International CAPA Workshop 2019 “Physical Activity Assessment – State of the Science,…
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Quiet route planning for pedestrians in traffic noise polluted environments
#Noise #pollution is one of the main stressors in urban environments, having negative impacts on people’s quality of life and health. For some groups of citizens, such as school children, patients, and elders, there is a need to support them in finding pedestrian routes in noise polluted areas of cities. In a new paper, we…
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Disaggregating surface change mechanisms of a rock glacier
How can multiple processes related to the deformation of an active rock glacier operating over different timescales be separated from each other? A preprint on the disaggregation of surface change mechanisms of a rock glacier has recently been published on Earth Surface Dynamics Discussions, an interactive open access journal of the European Geosciences Union. It…
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Wo mehr Grün wirklich helfen könnte: Interview mit Kathrin Foshag
Welchen Einfluss haben steigende Temperaturen und die zunehmende Zahl heißer Tage auf Städte, insbesondere auf die Hitzebelastung öffentlicher Plätze? Mit dieser Frage beschäftigte sich das Dissertationsprojekt von Dr. Kathrin Foshag an der Heidelberg School of Education. Nachdem die Ergebnisse kürzlich unter dem Titel “Viability of public spaces in cities under increasing heat: A transdisciplinary approach”…
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A Multi-Sensor Fusion Framework Based on Coupled Residual Convolutional Neural Networks
Multi-sensor remote sensing image classification has been considerably improved by deep learning feature extraction and classification networks. In this recent paper, we propose a novel multi-sensor fusion framework (CResNet-AUX) for the fusion of diverse remote sensing data sources. The novelty of this paper is grounded in three important design innovations: A unique adaptation of the…
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Transdisciplinary study on climate change adaptation featured in Heidelberg University Newsroom
No place for climate change: A recent transdisciplinary study on the viability of public spaces in cities under increasing heat was featured in the official Heidelberg University Newsroom (English version here). The study has been conducted by a Heidelberg research team led by Dr. Kathrin Foshag and investigated the heat stress in selected urban squares…