M
Monika Sester
Researcher at Leibniz University of Hanover
Publications - 247
Citations - 4430
Monika Sester is an academic researcher from Leibniz University of Hanover. The author has contributed to research in topics: Computer science & Point cloud. The author has an hindex of 33, co-authored 216 publications receiving 3741 citations. Previous affiliations of Monika Sester include University of Stuttgart & Lund University.
Papers
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Journal ArticleDOI
Detection of terrain structures in airborne laser scanning data using deep learning
TL;DR: This work uses MM and shows that combinations of other information such as sky view factors, (simple) local relief models, openness, and local dominance improve model performance even further, and builds a tinier, Multi-Modal High Resolution network called MM-HR, that outperforms MM.
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Field Motion Estimation with a Geosensor Network
Daniel Fitzner,Monika Sester +1 more
TL;DR: An algorithm is proposed for estimating the motion of spatio-temporal fields with the nodes of a geosensor network (GSN) deployed in situ when images are not available, and an error model that derives probabilistic error measures based on spatial node configuration is introduced.
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Joint estimation of road roughness from crowd-sourced bicycle acceleration measurements
Oskar Wage,Monika Sester +1 more
TL;DR: In this article, the authors integrate surface roughness measurements collected from diverse bicycles to a joint scale via a least-squares adjustment, which can be used to enrich bike focused routing services and thus encourage cycling in daily live.
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GPS-Aided Video Tracking
TL;DR: This work presents an approach for fusing GPS- and video-based tracking in order to exploit their individual advantages and aims to combine the reliability of GPS tracking with the high geometric accuracy of camera detection.
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Automatische Generalisierung raumbezogener Datenbestände
TL;DR: D ie Aufgabe der Generalisierung ist auch im Zeitalter of G IS noch immer sehr bedeutend ja, sie wird with Aufkommen neuer Techniken and Geräte vor neue Herausforderungen gestellt.