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Albert-Ludwigs-Universität Freiburg. Professur für Monitoring von Großstrukturen

Freiburg im Breisgau

Name	Albert-Ludwigs-Universität Freiburg. Professur für Monitoring von Großstrukturen
Place	Freiburg im Breisgau Baden-Württemberg (Wirkungsraum) Deutschland
Variant	Albert-Ludwigs-Universität Freiburg. Institut für Nachhaltige Technische Systeme. Professur für Monitoring von Großstrukturen University of Freiburg. Chair for Monitoring of Large-Scale Structures
Hierarchical superior	Albert-Ludwigs-Universität Freiburg. Institut für Nachhaltige Technische Systeme
Source	Homepage: http://www.inatech.uni-freiburg.de/de/professuren/mvg (Stand: 17.01.2018)
Record type	Organisation
GND-Identifier	1150790997
Record ID	1150790997
Involved in show all Automated camera pose generation for high-resolution 3D reconstruction of bridges by unmanned aerial vehicles Conceptualization and first realization steps for a multi-camera system to capture tree streamlining in wind Investigating a toolchain from trajectory recording to resimulation Mode coupling and signal energy distribution in an open-grown European beech tree Optical measurement system for monitoring railway infrastructure - a review 3D reconstruction from 2D plans exemplified by bridge structures Integrated gradients for feature assessment in point cloud-based data sets Fully automated segmentation of 2D and 3D mobile mapping data for reliable modeling of surface structures using deep learning

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Albert-Ludwigs-Universität Freiburg. Professur für Monitoring von Großstrukturen

Automated camera pose generation for high-resolution 3D reconstruction of bridges by unmanned aerial vehicles

Conceptualization and first realization steps for a multi-camera system to capture tree streamlining in wind

Investigating a toolchain from trajectory recording to resimulation

Mode coupling and signal energy distribution in an open-grown European beech tree

Optical measurement system for monitoring railway infrastructure - a review

3D reconstruction from 2D plans exemplified by bridge structures

Integrated gradients for feature assessment in point cloud-based data sets

Fully automated segmentation of 2D and 3D mobile mapping data for reliable modeling of surface structures using deep learning