@article{ChizhovaBrunnStilla, author = {Chizhova, Maria and Brunn, Ansgar and Stilla, Uwe}, title = {Probabilistic feasibility of the HE reconstruction process of russian-orthodox churches}, series = {The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences}, volume = {XLI-B5}, journal = {The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences}, doi = {https://doi.org/10.5194/isprs-archives-XLI-B5-221-2016}, pages = {221 -- 227}, abstract = {The cultural human heritage is important for the identity of following generations and has to be preserved in a suitable manner. In the course of time a lot of information about former cultural constructions has been lost because some objects were strongly damaged by natural erosion or on account of human work or were even destroyed. It is important to capture still available building parts of former buildings, mostly ruins. This data could be the basis for a virtual reconstruction. Laserscanning offers in principle the possibility to take up extensively surfaces of buildings in its actual status. In this paper we assume a priori given 3d-laserscanner data, 3d point cloud for the partly destroyed church. There are many well known algorithms, that describe different methods of extraction and detection of geometric primitives, which are recognized separately in 3d points clouds. In our work we put them in a common probabilistic framework, which guides the complete reconstruction process of complex buildings, in our case russian-orthodox churches. Churches are modeled with their functional volumetric components, enriched with a priori known probabilities, which are deduced from a database of russian-orthodox churches. Each set of components represents a complete church. The power of the new method is shown for a simulated dataset of 100 russian-orthodox churches.}, language = {en} } @article{DavidovicKuzmicVasicetal., author = {Davidovic, Marina and Kuzmic, Tatjana and Vasic, Dejan and Wich, Valentin and Brunn, Ansgar and Bulatovic, Vladimir}, title = {Methodology for Road Defect Detection and Administration based on Mobile Mapping Data}, series = {Computer Modeling in Engineering \& Sciences}, volume = {129}, journal = {Computer Modeling in Engineering \& Sciences}, number = {1}, doi = {https://doi.org/10.32604/cmes.2021.016071}, pages = {207 -- 226}, abstract = {A detailed inspection of roads requires highly detailed spatial data with sufficient precision to deliver an accurate geometry and to describe road defects visually. This paper presents a novel method for the detection of road defects. The input data for road defect detection included point clouds and orthomosaics gathered by mobile mapping technology. The defects were categorized in three major groups with the following geometric primitives: points, lines and polygons. The method suggests the detection of point objects from matched point clouds, panoramic images and ortho photos. Defects were mapped as point, line or polygon geometries, directly derived from orthomosaics and panoramic images. Besides the geometric position of road defects, all objects were assigned to a variety of attributes: defect type, surface material, center-of-gravity, area, length, corresponding image of the defect and degree of damage. A spatial dataset comprising defect values with a matching data type was created to perform the attribute analysis quickly and correctly. The final product is a spatial vector data set, consisting of points, lines and polygons, which contains attributes with further information and geometry. This paper demonstrates that mobile mapping suits a large-scale feature extraction of road infrastructure defects. By its simplicity and flexibility, the presented methodology allows it to be easily adapted to extract further feature types with their attributes. This makes the proposed approach a vital tool for data extraction settings with multiple mobile mapping data analysts, e.g., offline crowdsourcing.}, language = {en} } @article{SelenskiReussRothetal., author = {Selenski, J{\"u}rgen and Reuß, Oliver and Roth, Jonas and H{\"a}ndler, Verena and Badecki, Tomasz and Schirmer, Uwe and Bogner, Markus and Wagner, Andreas and Brunn, Ansgar}, title = {Integration von 3D-Laserscanning in die Rohstoffgewinnung im Untertagebau}, series = {DGPF-Jahrestagung 2023}, journal = {DGPF-Jahrestagung 2023}, editor = {Kersten, Thomas P. and Tilly, Nora}, address = {M{\"u}nchen}, pages = {251 -- 262}, language = {de} } @inproceedings{HaendlerReussRothetal., author = {H{\"a}ndler, Verena and Reuß, Oliver and Roth, Jonas and Selenski, J{\"u}rgen and Brunn, Ansgar}, title = {Punktwolkenbasierte 3D-Vermessung f{\"u}r KMU in Handwerk und Bauwesen}, series = {Publikationen der Deutschen Gesellschaft f{\"u}r Photogrammetrie, Fernerkundung und Geoinformation e.V.}, volume = {30}, booktitle = {Publikationen der Deutschen Gesellschaft f{\"u}r Photogrammetrie, Fernerkundung und Geoinformation e.V.}, abstract = {Hochschulen f{\"u}r angewandte Wissenschaften entwickeln best{\"a}ndig die Lehre nicht nur f{\"u}r die eigenen Studierenden, sondern auch die Methoden f{\"u}r den Wissenstransfer in die Unternehmen weiter. Neue didaktische Konzepte werden f{\"u}r anstehende Fachthemen ausprobiert. Im Rahmen des Projekts „Fr{\"u}he Digitalisierung technischer Planungsprozesse im Bauwesen und Handwerk f{\"u}r kleine und mittlere Unternehmen" (DiTeP4KMU) sollen daher aktuelle Methoden der Wissensvermittlung (Online Lehrangebote, Blended Learning sowie hybride Lehrveranstaltungsformen) in die berufsbegleitende Weiterbildung {\"u}bertragen und realisiert werden. Das Projekt ist eine Fortsetzung und Erweiterung der bereits an der Hochschule f{\"u}r angewandte Wissenschaften W{\"u}rzburg-Schweinfurt umgesetzten Projekte „Digitale Photogrammetrie und Bildverarbeitung f{\"u}r kleine und mittlere Unternehmen (DiPhoBi4KMU)" und „Mobile 3D Vermessung f{\"u}r kleine und mittlere Unternehmen" (MV-3D4KMU). Ziel des aktuellen Projekts ist die Prozessoptimierung in KMU durch mobile 3D-Vermessung anhand hybrider Wissensvermittlung in Form von E-Learning Angeboten sowie Pr{\"a}senzveranstaltungen in Form von Netzwerktreffen und Aktionen. Der fachliche Fokus liegt dabei auf der st{\"a}rkeren Verbreitung der 3D-Daten f{\"u}r allt{\"a}gliche Aufgaben - insbesondere der schnell zu generierenden 3D-Punktwolken durch moderne Messsysteme - in die Arbeitsprozesse im Bauwesen und Handwerk, in Zusammenarbeit mit den beteiligten Unternehmen. Die Erfahrungen in dem Projekt zeigen bereits nach ca. sechs Monaten ein großes Interesse und best{\"a}tigen die Konzeption des Projektentwurfs.}, language = {de} } @inproceedings{MeyerBrunn, author = {Meyer, Theresa and Brunn, Ansgar}, title = {3D Point Clouds in PostgreSQL/PostGIS for Applications in GIS and Geodesy}, series = {Proceedings of the 5th International Conference on Geographical Information Systems Theory, Applications and Management}, booktitle = {Proceedings of the 5th International Conference on Geographical Information Systems Theory, Applications and Management}, publisher = {SCITEPRESS - Science and Technology Publications}, isbn = {978-989-758-371-1}, doi = {10.5220/0007840901540163}, pages = {154 -- 163}, abstract = {Besides the common approach of an exclusively file based management of 3D point clouds, meanwhile it is possible to store and process this special type of massive geodata within spatial database systems. Users benefit from the general advantages of database solutions and especially from the potentials of a combined analysis of original 3D point clouds, 2D rasters, 3D voxel stacks and 2D and 3D vector data in order to gain valuable geo- information. This paper describes the integration of 3D point clouds into an open source PostgreSQL/PostGIS database using the Pointcloud extension and functions of the Point Data Abstraction Library (PDAL). The focus is on performing three-dimensional spatial queries and the evaluation of different tiling methods for the organization of 3D point clouds into table rows, regarding memory space, performance of spatial queries and effects on interactions between point clouds and other GIS features within the database. A new approach for an optimized point cloud tiling, considering the individual geometric characteristic of a 3D point cloud, is presented. The results show that an individually selected storage structure for a point cloud is crucial for low memory consumption and high-performance 3D queries in PostGIS applications, taking account of its three-dimensional spatial extent and point density.}, language = {en} } @article{ChizhovaGurianovHessetal., author = {Chizhova, Maria and Gurianov, Andrey and Hess, Mona and Luhmann, Thomas and Brunn, Ansgar and Stilla, Uwe}, title = {Semantic segmentation of building elements using point cloud hashing}, series = {ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences}, volume = {VLII-2}, journal = {ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences}, doi = {https://doi.org/10.5194/isprs-archives-XLII-2-241-2018}, pages = {241 -- 250}, abstract = {For the interpretation of point clouds, the semantic definition of extracted segments from point clouds or images is a common problem. Usually, the semantic of geometrical pre-segmented point cloud elements are determined using probabilistic networks and scene databases. The proposed semantic segmentation method is based on the psychological human interpretation of geometric objects, especially on fundamental rules of primary comprehension. Starting from these rules the buildings could be quite well and simply classified by a human operator (e.g. architect) into different building types and structural elements (dome, nave, transept etc.), including particular building parts which are visually detected. The key part of the procedure is a novel method based on hashing where point cloud projections are transformed into binary pixel representations. A segmentation approach released on the example of classical Orthodox churches is suitable for other buildings and objects characterized through a particular typology in its construction (e.g. industrial objects in standardized enviroments with strict component design allowing clear semantic modelling).}, language = {en} } @article{ChizhovaKorovinGurianovetal., author = {Chizhova, Maria and Korovin, Dmitriyi and Gurianov, Andrey and Brodovskii, Maxim and Brunn, Ansgar and Stilla, Uwe and Luhmann, Thomas}, title = {Probabilistic Reconstruction of orthodox Churches from precision Point Clouds using Bayesian Networks and Cellular Automata}, series = {The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences}, volume = {VLII-2/W3}, journal = {The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences}, doi = {doi:10.5194/isprs-archives-XLII-2-W3-187-2017}, pages = {187 -- 194}, abstract = {The point cloud interpretation and reconstruction of 3d-buildings from point clouds has already been treated for a few decades. There are many articles which consider the different methods and workows of the automatic detection and reconstruction of geometrical objects from point clouds. Each method is suitable for the special geometry type of object or sensor. General approaches are rare. In our work we present an algorithm which develops the optimal process sequence of the automatic search, detection and reconstruction of buildings and building components from a point cloud. It can be used for the detection of the set of geometric objects to be reconstructed, independent of its destruction. In a simulated example we reconstruct a complete Russian-orthodox church starting from the set of detected structural components and reconstruct missing components with high probability.}, language = {en} } @article{DizbadiSafarzadehArastooetal., author = {Dizbadi, Mehran and Safarzadeh, Daniyal and Arastoo, Behrooz and Brunn, Ansgar}, title = {Predicting the Areal Development of the City of Mashhad with the Automaton Fuzzy Cell Method}, series = {World Academy of Science, Engineering and Technology, International Journal of Civil and Architectural Engineering}, volume = {16}, journal = {World Academy of Science, Engineering and Technology, International Journal of Civil and Architectural Engineering}, number = {6}, abstract = {Rapid and uncontrolled expansion of cities has led to unplanned aerial development. In this way, modeling and predicting the urban growth of a city helps decision-makers. In this study, the aspect of sustainable urban development has been studied for the city of Mashhad. In general, the prediction of urban aerial development is one of the most important topics of modern town management. In this research, using the Cellular Automaton (CA) model and perceptron neural network method with satellite data developed for geo data of Geographic Information Systems (GIS) and presenting a simple and powerful model, a simulation of complex urban processes has been done. In finally our accuracy has been better compared to other researches that have been done in this field and we have slightly improved and optimize the final results approximately \%92.1.}, language = {en} } @inproceedings{MeyerBrunnStilla, author = {Meyer, Theresa and Brunn, Ansgar and Stilla, Uwe}, title = {Genauigkeitsbetrachtung voxelbasierter {\"A}nderungsdetektion im Geb{\"a}udeinnenbereich zur automatisierten Baufortschritts{\"u}berwachung}, series = {Publikationen der Deutschen Gesellschaft f{\"u}r Photogrammetrie, Fernerkundung und Geoinformation e.V.}, volume = {30}, booktitle = {Publikationen der Deutschen Gesellschaft f{\"u}r Photogrammetrie, Fernerkundung und Geoinformation e.V.}, doi = {10.24407/KXP:1796028584}, abstract = {Dieser Beitrag handelt von einer Methode zur {\"A}nderungsdetektion im Geb{\"a}udeinneren, die auf der Diskretisierung des Objektraums durch Voxel basiert. Die Belegung des Voxelraums wird anhand von Punktwolken aus terrestrischem Laserscanning zu verschiedenen Bauphasen ermittelt. Durch die Aufdeckung von Belegungskonflikten zwischen zwei Messepochen wird ermittelt, ob {\"A}nderungen an einer bestimmten Stelle aufgetreten sind. Es wird gezeigt, wie sich der Diskretisierungsfehler als Resultat der Voxelisierung auf die noch erreichbare r{\"a}umliche Aufl{\"o}sung einer {\"A}nderungsaussage auswirkt. Am Beispiel von Abbrucharbeiten bei einem Innenumbauprojekt werden die wechselseitigen Auswirkungen von Aufnahmegeometrie, Scanaufl{\"o}sung und Voxelgr{\"o}ße diskutiert. Die Ergebnisse zeigen, dass die Aufl{\"o}sung von 3D-Punktwolken unter Beachtung einiger Anforderungen an die Aufnahmegeometrie bei Innenraum-Messungen ausreicht, um bei g{\"a}ngigen Genauigkeitsanforderungen auf Voxelebene automatisiert strukturelle {\"A}nderungen zu beschreiben.}, language = {de} } @inproceedings{BaetzUhlBrunn, author = {Baetz, Christiane and Uhl, Anna and Brunn, Ansgar}, title = {Satellite based Change Detection of the Volyn Region}, series = {Proceeding of the Conference on "Socio-geographical factors of the regions development"}, booktitle = {Proceeding of the Conference on "Socio-geographical factors of the regions development"}, address = {Lutzk}, abstract = {Land use in the Volyn region (Ukraine) has changed a lot in the last decade. Change detection basing on satellite images is an appropriate method to show the migration of land use. In this article, a classification of the land use on free satellite is implemented. The procedure should be as automatic as possible. For the optimum accuracy different band combinations and the NDVI are tested. Different methods were compared due to the achieved accuracy and the status of automation.}, language = {en} } @article{DizbadiArastooTothetal., author = {Dizbadi, Mehran and Arastoo, Behrooz and Toth, Charles and Brunn, Ansgar}, title = {Automatic Extraction of Buildings Boundaries Using Satellite Imagery with High Spatial Resolution and Deep Learning Methods}, series = {FIG-Congress 2023}, journal = {FIG-Congress 2023}, address = {Orlando (USA)}, language = {en} } @article{OkyereMinnichBrunn, author = {Okyere, Franz and Minnich, Thea and Brunn, Ansgar}, title = {Implementation of a low-cost Ambulance Management System}, series = {FIG-Congress 2023}, journal = {FIG-Congress 2023}, address = {Orlando (USA)}, language = {en} } @inproceedings{WichBrunn, author = {Wich, Valentin and Brunn, Ansgar}, title = {Methodik des Blended Learnings in der Aus- und Weiterbildung der mobilen 3D Vermessung}, series = {Dreil{\"a}ndertagung der DGPF, der OVG und der SGPF in Wien, {\"O}sterreich - Publikationen der DGPF}, booktitle = {Dreil{\"a}ndertagung der DGPF, der OVG und der SGPF in Wien, {\"O}sterreich - Publikationen der DGPF}, number = {28}, abstract = {Die Technik der mobilen 3D Vermessung wird immer komplexer und durch die zunehmende Digitalisierung weiter beschleunigt. Ein {\"a}hnlicher Trend zeichnet sich auch in verwandten Branchen ab. Vermessungsleistungen m{\"u}ssen daher schneller und in anderen Dimensionen erf{\"u}llt werden. Dies stellt gerade kleine und mittlere Unternehmen vor technologische, aber auch personelle Herausforderungen. Im Projekt „Mobile Vermessung f{\"u}r kleine und mittlere Unternehmen (MV-3D4KMU)" wird versucht, die Fortbildung in den Unternehmen zu erg{\"a}nzen und zu vereinfachen. Das geschieht durch intensivere Nutzung des Mediums Video, mit einer f{\"u}r den Endnutzer einfachen Plattform und durch das spielerische Lernen. Wissen wird nicht nur aus einer Richtung vermittelt, sondern die Bildungsbed{\"u}rfnisse werden in der Gruppe erfasst und es wird im ersten Schritt der Grundstein f{\"u}r zielgerichtetes Lehren und gemeinsames Lernen gelegt. Die Erfahrungen aus der Theorie werden in praktische Beispiele umgesetzt. Der Wissensaustausch zwischen der Hochschule und Unternehmen, neben gemeinsamen wissenschaftlichen Arbeiten, schafft eine intensive R{\"u}ckkopplung und Vernetzung zwischen allen am Bildungsprozess beteiligten Projektparteien. Autorensoftware f{\"u}r e-Lernmodule erm{\"o}glicht eine saubere, einheitlich gestaltete, ansprechende Gestaltung. Webtechnologien beg{\"u}nstigen das einfachere Verteilen von Daten und f{\"o}rdern daneben die digitale Zusammenarbeit im Web, auch {\"u}ber große Entfernungen hinweg. Bildung soll noch spannender, zielgerichteter und effizienter stattfinden. Die Außenwirkung und Begeisterung f{\"u}r das Feld muss weiter gest{\"a}rkt werden, um f{\"u}r noch mehr Interesse und Nachwuchs im Feld der mobilen 3D Vermessung, mit ihren Teilbereichen, zu sorgen. Abschließend werden Trends in Bildung und Technik aufgezeigt, um mit der immer h{\"o}her werdenden Entwicklungsgeschwindigkeit der Technik auch in den Unternehmen mithalten zu k{\"o}nnen.}, language = {de} } @inproceedings{SelenskiWichBrunn, author = {Selenski, J{\"u}rgen and Wich, Valentin and Brunn, Ansgar}, title = {Erfahrungen mit einem Regelbetrieb der Erstellung von E-Learning Angeboten f{\"u}r Photogrammetrie und Mobile 3D-Vermessung}, series = {40. Wissenschaftlich-Technische Jahrestagung der DGPF in Stuttgart - Publikationen der DGPF}, booktitle = {40. Wissenschaftlich-Technische Jahrestagung der DGPF in Stuttgart - Publikationen der DGPF}, number = {29}, editor = {Kersten, Thomas P.}, abstract = {Seit einigen Jahren setzt die Hochschule f{\"u}r angewandte Wissenschaften W{\"u}rzburg-Schweinfurt (FHWS) Blended Learning und Blended Networking erfolgreich ein. Die Methodik findet in der Ausbildung im Projekt „SMART vhb" sowie in der Weiterbildung im Projekt „Mobile 3D Vermessung f{\"u}r kleine und mittlere Unternehmen" (MV-3D4KMU) Anwendung. Die Erstellung der Online-Lerneinheiten im Regelbetrieb erfordert die Realisierung einer Prozesskette, die Schaffung klarer Rahmenbedingungen, die Auswahl von Themen und Inhalten der Lektionen, das Schreiben von Drehb{\"u}chern, die Umsetzung der Lektionen, eine Qualit{\"a}tssicherung in der Herstellung und {\"U}berf{\"u}hrung der Lektionen in den Regellehrbetrieb durch ein Repositorium. Die Intention einer Netzwerkbildung zwischen den Lehrenden erfordert zus{\"a}tzlich Interaktionen in Pr{\"a}senzveranstaltungen und eine Dokumentations- und Austauschplattform. Dieser Beitrag behandelt die Ziele und Motivationen der Projekte und gibt methodische Einblicke in didaktische, technische und organisatorische Konzepte. Praktische Einblicke stellen bereits erprobte Einsatzfelder von Blended Learning und Blended Networking vor und erm{\"o}glichen Bewertungen des Erreichten.}, language = {de} } @inproceedings{MeyerBrunn, author = {Meyer, Theresa and Brunn, Ansgar}, title = {3D-Punktwolken-Management mit PostgreSQL/PostGIS f{\"u}r praktische Anwendungen in Geoinformationssystemen}, series = {Dreil{\"a}ndertagung der DGPF, der OVG und der SGPF in Wien, {\"O}sterreich - Publikationen der DGPF}, booktitle = {Dreil{\"a}ndertagung der DGPF, der OVG und der SGPF in Wien, {\"O}sterreich - Publikationen der DGPF}, number = {28}, abstract = {Neben dem dateibasierten Management von 3D-Punktwolken besteht seit einigen Jahren auch die M{\"o}glichkeit, diese gemeinsam mit anderen Geodaten in r{\"a}umlichen Datenbanksystemen vorzuhalten und dabei von den Vorteilen der kombinierten Analyse von georeferenzierten Punktwolken-, Raster- und Vektordaten zu profitieren. In diesem Beitrag wird vorgestellt, wie die Punktwolkenerweiterung „Pointcloud" f{\"u}r die PosgreSQL/PostGIS Datenbank mit ihren speziellen Methoden und der Integration von PostGIS-Funktionen genutzt werden kann, um auch r{\"a}umliche Abfragen in 3D zu realisieren. Im Besonderen werden erweiterte M{\"o}glichkeiten zur Punktwolkenkachelung durch Kombinationen von Funktionen der Point Data Abstraction Library (PDAL) aufgezeigt und dahingehend untersucht, in wie weit sich unterschiedliche Kachelmethoden und -konfigurationen auf Speicherplatzbedarf, Abfrageperformance und Interaktionen zwischen Punktwolken und anderen 2D und 3D Geoobjekten in der Datenbank auswirken. Die Ergebnisse zeigen, dass eine individuell gew{\"a}hlte Speicherstruktur f{\"u}r eine Punktwolke unter Ber{\"u}cksichtigung ihrer dreidimensionalen r{\"a}umlichen Ausdehnung und Punktdichte ausschlaggebend f{\"u}r einen geringen Speicherverbrauch und performante Abfragen in PostGIS-Anwendungen ist.}, language = {de} } @inproceedings{WichSelenskiBrunn, author = {Wich, Valentin and Selenski, J{\"u}rgen and Brunn, Ansgar}, title = {Use of Blended Learning and Blended Networking in Adult Education in the Fields of Study Photogrammetry and Mobile Mapping}, series = {FIG-Congress, 2020 Amsterdam}, booktitle = {FIG-Congress, 2020 Amsterdam}, abstract = {State of the art adult education combines both online and offline lectures. There is a variety of terms that describe combinations of online and offline learning settings. We apply Blended Learning in the project SMART vhb to teach students photogrammetry, laser scanning and image analysis. We extend Blended Learning by face-to-face meetings with networking aspects and call this approach Blended Networking. We apply Blended Networking in the project MV-3D4KMU to teach mobile mapping and collaborate with experienced professionals. We share our experience with Blended Learning and Blended Networking. Both approaches proved to be efficient when applied in a well-structured framework. In this paper, we explain how to structure the development process of these lectures and settings, how to successfully conduct such lectures. We give recommendations based on our experience for both methods. We encourage to use and assess these novel approaches to sustainably implement lectures in adult education and educational networking}, language = {en} } @inproceedings{KnoettnerRosenbaumBrunn, author = {Kn{\"o}ttner, Julia and Rosenbaum, Dominik and Brunn, Ansgar}, title = {Trennung von parkenden und am Verkehr teilnehmenden Fahrzeugen basierend auf einer automatischen Verkehrserfassung aus Luftbildern}, series = {Dreil{\"a}ndertagung der DGPF, der OVG und der SGPF in Wien, {\"O}sterreich - Publikationen der DGPF}, booktitle = {Dreil{\"a}ndertagung der DGPF, der OVG und der SGPF in Wien, {\"O}sterreich - Publikationen der DGPF}, number = {28}, abstract = {In diesem Beitrag wird eine Methode entwickelt, die auf Basis der automatischen Verkehrserfassung des Deutschen Zentrums f{\"u}r Luft- und Raumfahrt e.V. (DLR), stehende Fahrzeuge in „parkend" und „am Verkehr teilnehmend" unterteilt. Bei der Erfassung, die Teilbereich des Projektes VABENE++ ist, werden w{\"a}hrend eines Helikopterfluges Fahrzeuge im Bild detektiert und {\"u}ber eine Bildsequenz getrackt, sodass anschließend f{\"u}r jedes wiedergefundene Fahrzeug mehrere Positionen vorliegen. Im Zuge dessen werden zahlreiche Verkehrsparameter gewonnen. Anhand dieser Daten wird die finale Unterscheidung mithilfe von Fuzzy-Logik realisiert. Neben den gegenw{\"a}rtigen Umgebungseinfl{\"u}ssen werden dabei auch die benachbarten Fahrzeuge mit einbezogen.}, language = {de} } @inproceedings{FiedlerKnoblachWerthmannetal., author = {Fiedler, S. and Knoblach, Stefan and Werthmann, Helmut and Brunn, Ansgar}, title = {{\"U}berf{\"u}hrung von 2D-Passmarken in hoch aufgel{\"o}ste 3D-Punktwolken mittels Pr{\"a}zisions-Lasercsanning}, series = {Photogrammetrie-Laserscanning-Optische 3D-Messtechnik; Beitr{\"a}ge der Oldenburger 3D-Tage 2019}, booktitle = {Photogrammetrie-Laserscanning-Optische 3D-Messtechnik; Beitr{\"a}ge der Oldenburger 3D-Tage 2019}, editor = {Luhmann, Thomas and Schumacher, Christina}, publisher = {Wichmann-Verlag}, language = {de} } @article{RoederGruempelBrunn, author = {R{\"o}der, Marius and Gr{\"u}mpel, Philipp and Brunn, Ansgar}, title = {Photogrammetrische Rekonstruktion eines Gittermastens durch Bildaufnahme mit einer Drohne - Luftbildphotogrammetrie in der Vertikalen}, series = {VDV Magazin - Zeitschrift f{\"u}r Geod{\"a}sie und Geoinformatik}, volume = {6}, journal = {VDV Magazin - Zeitschrift f{\"u}r Geod{\"a}sie und Geoinformatik}, publisher = {Verlag Chmielorz GmbH}, address = {Wiesbaden}, pages = {484 -- 493}, language = {de} } @article{MinnichBrunn, author = {Minnich, Thea and Brunn, Ansgar}, title = {Mobile 3D-Vermessung zur Dokumentation von Gasleitungen}, series = {DGPF-Jahrestagung 2023}, journal = {DGPF-Jahrestagung 2023}, edition = {31}, address = {M{\"u}nchen}, pages = {98 -- 109}, language = {de} } @article{KarlBrunn, author = {Karl, Georg and Brunn, Ansgar}, title = {Erfassung von {\"a}ußeren Sch{\"a}den an Windkraftanlagen}, series = {VDV Magazin - Zeitschrift f{\"u}r Geod{\"a}sie und Geoinformatik}, journal = {VDV Magazin - Zeitschrift f{\"u}r Geod{\"a}sie und Geoinformatik}, number = {1}, publisher = {Velag Chmielorz GmbH}, address = {Wiesbaden}, pages = {32 -- 39}, language = {de} } @inproceedings{Brunn, author = {Brunn, Ansgar}, title = {Blended Learning in Photogrammetrie und Bildverarbeitung f{\"u}r regionale KMUs - Ein Erfahrungsbericht}, series = {38. Wissenschaftlich-Technische Jahrestagung der DGPF und PFGK18 Tagung in M{\"u}nchen - Publikationen der DGPF}, booktitle = {38. Wissenschaftlich-Technische Jahrestagung der DGPF und PFGK18 Tagung in M{\"u}nchen - Publikationen der DGPF}, number = {27}, abstract = {Blended-Learning etabliert sich immer st{\"a}rker als anerkannte Lehr- und Lernform. Die Hochschule f{\"u}r angewandte Wissenschaften W{\"u}rzburg-Schweinfurt (FHWS), Labor f{\"u}r Photogrammetrie hat von 2015-2017 (Projektlaufzeit 26 Monate) das Projekt „Digitale Photogrammetrie und Bildverarbeitung f{\"u}r kleine und mittlere Unternehmen (DiPhoBi4KMU)" mit dem Ziel der St{\"a}rkung regionaler kleiner und mittlerer Unternehmen (KMU) durchgef{\"u}hrt, einerseits durch Wissensvermittlung, andererseits durch Netzwerkbildung. Erstmalig verfolgte der Studienbereich Geo an der FHWS den Ansatz des Blended-Learnings in einem Projekt mit regionalen Unternehmen. Ergebnisse und Erfahrungen werden sowohl aus der technisch-fachlichen als auch aus der didaktischen Sicht pr{\"a}sentiert und bewertet. Nach dem erfolgreichen Abschluss des Projekts DiPhoBi4KMU wird die FHWS das Projektformat in weiteren Themengebieten weiter fortf{\"u}hren.}, language = {de} } @inproceedings{ChizhovaGurianovKorovinetal., author = {Chizhova, Maria and Gurianov, Andrey and Korovin, Dmitrii and Brunn, Ansgar and Stilla, Uwe}, title = {Automatically Extraction and Reconstruction of Cupola Geometries of Orthodox Churches from Precision Point Clouds}, series = {37. Wissenschaftlich-Technische Jahrestagung der DGPF in W{\"u}rzburg - Publikationen der DGPF}, booktitle = {37. Wissenschaftlich-Technische Jahrestagung der DGPF in W{\"u}rzburg - Publikationen der DGPF}, number = {26}, pages = {434 -- 443}, abstract = {Complex geometry extraction from point clouds is an actual problem in reverse engineering. Simple geometrical models (like parallelepipeds, prisms, pyramids, cones, spheres) were already applied in construction and machine-building modeling, but are not sufficient for high quality BIM now. This work, which is carried out in the context of virtual reconstruction of destroyed orthodox churches, presents a robust and efficient method of cupola (domes) and tambour geometry extraction from precise point clouds. The rich diversity of architectural forms, which are defined by many parameters, does not allow to consider this problem as a trivial duty, because usual geometry extraction methods fail for these object types. The new developed algorithm is presented and realized}, language = {en} } @inproceedings{ChizhovaGurianovBrunnetal., author = {Chizhova, Maria and Gurianov, Andrey and Brunn, Ansgar and Stilla, Uwe and Luhmann, Thomas}, title = {Wavelet-basierte Erkennung architektonischer Formen aus pr{\"a}zisen Punktwolken}, series = {Beitr{\"a}ge der Oldenburger 3D-Tage 2017}, booktitle = {Beitr{\"a}ge der Oldenburger 3D-Tage 2017}, editor = {Luhmann, Thomas and Schumacher, C.}, publisher = {Wichmann-Verlag}, address = {Berlin}, pages = {129 -- 141}, language = {de} } @inproceedings{ChizhovaKorovinBrunnetal., author = {Chizhova, M. and Korovin, D. and Brunn, Ansgar and Stilla, Uwe}, title = {Automatical Segmentation of Cupola Blocks from Unorganized Point Clouds}, series = {Proceedings of the GEOSPACE Congress 2016, Kiew}, booktitle = {Proceedings of the GEOSPACE Congress 2016, Kiew}, language = {en} } @article{MeyerBrunnStilla, author = {Meyer, Theresa and Brunn, Ansgar and Stilla, Uwe}, title = {Change detection for indoor construction progress monitoring based on BIM, point clouds and uncertainties}, series = {Automation in Construction}, volume = {141}, journal = {Automation in Construction}, issn = {0926-5805}, doi = {doi.org/10.1016/j.autcon.2022.104442}, abstract = {Automatic construction progress documentation and metric evaluation of execution work in confined building interiors requires particularly reliable geometric evaluation and interpretation of statistically uncertain as-built point clouds. This paper presents a method for high-resolution change detection based on dense 3D point clouds from terrestrial laser scanning (TLS) and the discretization of space by voxels. In order to evaluate the metric accuracy of a BIM according to the Level of Accuracy (LOA) specification, the effects of laser range measurements on the occupancy of space are modeled with belief functions and evaluated using Dempster and Shafer's theory of evidence. The application is demonstrated on the point cloud data of multi temporal scanning campaigns of real indoor reconstructions. The results show that TLS point clouds are suitable to verify a given BIM up to LOA 40 if special attention is paid to the scanning geometry during the acquisition. The proposed method can be used to document construction progress, verify and even update the LOA status of a given BIM, confirming valid and BIM-compliant as-built models for further planning.}, language = {en} } @incollection{BrunnChizhova, author = {Brunn, Ansgar and Chizhova, Maria}, title = {Aufbau wissenschaftlicher Partnerschaften nach Osteuropa}, series = {DGPF-Tagung}, booktitle = {DGPF-Tagung}, address = {K{\"o}ln}, language = {de} } @inproceedings{BrunnLochner, author = {Brunn, Ansgar and Lochner, Ute}, title = {3D-Rekonstruktion mit Streifenprojektion f{\"u}r die Lehre}, series = {Oldenburger 3D-Tage 2011}, booktitle = {Oldenburger 3D-Tage 2011}, abstract = {Das Ziel dieser Arbeit ist die Erstellung einer {\"U}bung {\"u}ber das Thema „Streifenprojektion" zur dreidimensionalen Rekonstruktion. Diese soll k{\"u}nftig in die Vorlesungen an der Hochschule W{\"u}rzburg-Schweinfurt integriert werden. Daf{\"u}r wurde die f{\"u}r die Hochschule bis dato unbekannte Software „DAVID-Laserscanner" erworben, welche auf einem Prinzip der Streifenprojektion basiert, das in den Vorlesungen bisher noch nicht erw{\"a}hnt wurde. Bei diesem Prinzip werden Oberfl{\"a}chen mit Hilfe einer Kamera und eines Linienlasers erfasst. Dabei k{\"o}nnen Objekte einer Gr{\"o}ße von 10cm - 2m ber{\"u}hrungslos dreidimensional erfasst und rekonstruiert werden. Es musste zun{\"a}chst getestet werden, ob sich die Software f{\"u}r den Einsatz in der Lehre eignet. Daf{\"u}r wurde sich sowohl mit den technischen Hintergr{\"u}nden (dem Streifenprojektionssystem von DAVID- Laserscanner), als auch mit der Funktionsweise derselben besch{\"a}ftigt. Um selbst Erfahrung im Umgang mit der Software zu erwerben, wurde die Rekonstruktion mit DAVID an zwei unterschiedlichen Objekten durchgef{\"u}hrt. Diese sollten m{\"o}glichst stark differieren, um in Anbetracht der {\"U}bung m{\"o}gliche Unterschiede oder Komplikationen bei der Arbeit mit DAVID festzustellen. Dabei wurden s{\"a}mtliche Features und M{\"o}glichkeiten der Software getestet, ebenso wie unterschiedliche Versuchsaufbauten und Umgebungsbedingungen. Auf Basis dieses Wissens folgte die Erstellung der {\"U}bung. Dabei war vor allen Dingen wichtig, dass die Aufgabenstellung keinen mehrseitigen „Fahrplan" mit s{\"a}mtlichen Features, Buttons und Funktionen der Software darstellt, sondern die Studenten zur aktiven Teilnahme am Erreichen des {\"U}bungszieles anregt. Deswegen beschr{\"a}nkt sich die Aufgabenstellung der {\"U}bung nur auf die wichtigsten Informationen, s{\"a}mtliche weitere Hilfestellungen werden in unterschiedlichen Hilfsmitteln bereitgestellt. Diese sind zum Beispiel die Bedienungsanleitung, sowie die Homepage der Software. Ferner erfolgte die Erstellung weiterer Zusatzinformationen, welche in der Softwarebeschreibung nicht vorkommen, aber f{\"u}r den erfolgreichen Abschluss einer Rekonstruktion mit DAVID als wichtig erachtet wurden.}, language = {de} } @incollection{BrunnRanzau, author = {Brunn, Ansgar and Ranzau, Michael}, title = {Detailverbesserung von 3D-Laserscannermessungen durch hoch aufgel{\"o}ste digitale Bilder am Beispiel von Freileitungsgittermasten}, series = {DGPF-Tagung}, booktitle = {DGPF-Tagung}, address = {K{\"o}ln}, abstract = {3D-Laserscanning und Nahbereichsphotogrammetrie lassen sich in vielen Anwendungsgebieten kombiniert einsetzen. Aktuell {\"u}berwiegen Verfahren zur Texturierung und zur Genauigkeitssteigerung der Laserpunktwolke durch unterst{\"u}tzende photogrammetrische Aufnahmen. Dieser Artikel beschreibt und bewertet eine neue Kombinationsm{\"o}glichkeit der beiden 3D-Messverfahren Photogrammetrie und 3D-Laserscanning, um die in großer Entfernung stark verrauschten Laserscanpunktwolken mittels photogrammetrischer Methoden drei-dimensional geometrisch zu verdichten. M{\"o}glich wird dies durch die in den photogrammetrischen Daten hohen, skalierbaren Pixelaufl{\"o}sungen am Objekt. Gut sichtbare Objektelemente werden dabei als Passpunkte zwischen den beiden Messsystemen verwendet und dienen der Maßstabs{\"u}bertragung und der L{\"o}sung der Bildorientierung. Erreicht werden Streckenmessgenauigkeiten am Objekt von unter 2mm bei einer Objektentfernung von bis zu 100m. Das Verfahren wurde zur Messung hoher Industriebauten entwickelt und wird anhand eines Freileitungsgittermasts vorgestellt.}, language = {de} } @incollection{BrunnHastedt, author = {Brunn, Ansgar and Hastedt, Heidi}, title = {Untersuchung der Fujifilm Real 3D Stereokameras f{\"u}r den photogrammetrischen Einsatz}, series = {Oldenburger 3D-Tage 2011}, booktitle = {Oldenburger 3D-Tage 2011}, abstract = {Mit der Real 3D W1 und der Real 3D W3 Kamera hat Fujifilm in kurzer Folge zwei digita-le Stereokameras auf den Markt gebracht, die seit gut einem Jahr verf{\"u}gbar und dem Ama-teurbereich zuzuordnen sind. In diesem Beitrag werden die beiden Digitalkameras in Hin-blick auf ihre photogrammetrischen Einsatzm{\"o}glichkeiten untersucht. Hohe Bedeutung zur Beurteilung der Verwendbarkeit hat die Geometrie der Optik der Kamera, insbesondere auch der Stabilit{\"a}t derselben. Die Innere und die Relative Orientierung sowie die Synchro-nisation beider Optiken werden bestimmt und bewertet.}, language = {de} } @incollection{BrunnWenzel, author = {Brunn, Ansgar and Wenzel, Daniela}, title = {Landmanagement im Studiengang Vermessung und Geoinformatik an der Hochschule f{\"u}r angewandte Wissenschaften W{\"u}rzburg-Schweinfurt (Deutschland)}, series = {Sammelband der Akademie Iwanowo 04/2013}, booktitle = {Sammelband der Akademie Iwanowo 04/2013}, number = {4}, language = {de} } @incollection{BrunnDrauschkeFoerstner, author = {Brunn, Ansgar and Drauschke, Martin and F{\"o}rstner, Wolfgang}, title = {Multidodging: Ein effizienter Algorithmus zur automatischen Verbesserung von digitalisierten Luftbilder}, series = {Publikationen der DGPF, Band 18: Zukunft mit Tradition}, booktitle = {Publikationen der DGPF, Band 18: Zukunft mit Tradition}, number = {18}, editor = {Seyfert, Eckhardt}, address = {Jena}, pages = {61 -- 68}, language = {de} } @article{MankoBrunnMelnyk, author = {Manko, Pavlo and Brunn, Ansgar and Melnyk, Oleksandr}, title = {Remote sensing methods for estimating tree species of forests in the Volyn region, Ukraine}, series = {Frontiers in Forests and Global Change}, volume = {6}, journal = {Frontiers in Forests and Global Change}, issn = {2624-893X}, abstract = {Forest classification is needed to solve a wide range of environmental issues related to of forest classes and succession processes, the extent of afforestation and deforestation and global environmental change. These applications require a very accurate mapping and monitoring of forest types. This article investigates the combination of modern open geographic information systems and remote sensing data in forest management tasks for a specific part of the Ukrainian state area. Based on the existing afforestation plans, the results of the unsupervised classification of Sentinel-2 images and the selection of forest species fragments with closed crowns as training data for supervised classification, classifiers of forest species of the study object were developed with and without taking into account age groups. A supervised classification of research objects is realized and the accuracy of the obtained results is evaluated. It is established that the accuracy of determining forest species on the basis of the proposed method is 90.3 and 91.4\%, taking into account age groups and without taking them into account, respectively. Thus, it is found that the modeling of the age groups does not improve the classification result for the test area.}, language = {en} } @article{BrunnLuxen, author = {Brunn, Ansgar and Luxen, Marc}, title = {Parametersch{\"a}tzung auf unvollst{\"a}ndigen Beobachtungsdaten mittels des EM-Algorithmus}, series = {Zeitschrift f{\"u}r Geod{\"a}sie, Geoinformation und Landmanagement (ZfV)}, journal = {Zeitschrift f{\"u}r Geod{\"a}sie, Geoinformation und Landmanagement (ZfV)}, language = {de} } @incollection{BrunnWoerlerRuppert, author = {Brunn, Ansgar and W{\"o}rler, Jan and Ruppert, Markus}, title = {SketchUP}, series = {Technologien im Mathematikunterricht - Eine Sammlung von Trends und Ideen}, booktitle = {Technologien im Mathematikunterricht - Eine Sammlung von Trends und Ideen}, editor = {Ruppert, Markus and W{\"o}rler, Jan}, publisher = {Springer}, address = {Wiesbaden}, isbn = {978-3-658-03007-0}, pages = {135 -- 156}, language = {de} } @incollection{BrunnHugemann, author = {Brunn, Ansgar and Hugemann, Wolfgang}, title = {Fotogrammetrie}, series = {Unfallrekonstruktion, autorenteam GbR}, booktitle = {Unfallrekonstruktion, autorenteam GbR}, editor = {Hugemann, Wolfgang}, publisher = {Selbstverlag}, address = {M{\"u}nster}, language = {de} } @incollection{BrunnKiefer, author = {Brunn, Ansgar and Kiefer, G.}, title = {Untersuchungen der Variation der Parameter der inneren Orientierung von NIKON Spiegelreflexkameras}, series = {Oldenburger 3D-Tage 2012}, booktitle = {Oldenburger 3D-Tage 2012}, language = {de} } @incollection{BrunnRanzau, author = {Brunn, Ansgar and Ranzau, Michael}, title = {Photogrammetrische Rekonstruktion von Freileitungsgittermasten}, series = {Oldenburger 3D-Tage 2013}, booktitle = {Oldenburger 3D-Tage 2013}, publisher = {Wichmann-Verlag}, language = {de} } @incollection{Brunn, author = {Brunn, Ansgar}, title = {Statistical interpretation of DEM and image data for building extraction}, series = {Automatic Extraction of Man-Made Objects From Aerial and Space Images (III)}, booktitle = {Automatic Extraction of Man-Made Objects From Aerial and Space Images (III)}, publisher = {A.A. Balkema}, pages = {171 -- 180}, language = {en} } @article{BrunnRanzau, author = {Brunn, Ansgar and Ranzau, Michael}, title = {Color-Multidodging von digitalen Bildern}, series = {VDV Magazin - Zeitschrift f{\"u}r Geod{\"a}sie und Geoinformatik}, journal = {VDV Magazin - Zeitschrift f{\"u}r Geod{\"a}sie und Geoinformatik}, number = {5}, publisher = {Chmielorz GmbH}, address = {Wiesbaden}, pages = {360 -- 363}, language = {de} } @incollection{BrunnWeidner, author = {Brunn, Ansgar and Weidner, Uwe}, title = {Extracting Buildings from Digital Surface Models}, series = {IAPRS 3D Reconstruction and Modeling of Topographic Objects}, volume = {32}, booktitle = {IAPRS 3D Reconstruction and Modeling of Topographic Objects}, number = {3-4W2}, address = {Stuttgart}, language = {en} } @incollection{Brunn, author = {Brunn, Ansgar}, title = {Statistische Detektion von Geb{\"a}uden in multisensoriellen Daten}, series = {21. DGPF Jahrestagung}, booktitle = {21. DGPF Jahrestagung}, address = {Konstanz}, pages = {265 -- 272}, language = {de} } @incollection{Brunn, author = {Brunn, Ansgar}, title = {Techniques for automatic building extraction}, series = {3rd Course in Digital Photogrammetry}, booktitle = {3rd Course in Digital Photogrammetry}, address = {Bonn}, language = {en} } @article{KnoettnerRosenbaumKurzetal., author = {Kn{\"o}ttner, Julia and Rosenbaum, Dominik and Kurz, Franz and Brunn, Ansgar and Reinartz, Peter}, title = {Rule-Based Mapping of Parked Vehicles using Aerial Image Sequences}, series = {ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences}, volume = {IV-2/W7}, journal = {ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences}, doi = {doi.org/10.5194/isprs-annals-IV-2-W7-95-2019}, pages = {95 -- 101}, abstract = {Mapping of parking spaces in cities is a prerequisite for future applications in parking space management like community-based parking. Although terrestrial or vehicle based sensors will be the favorite data source for parking space mapping, airborne monitoring can play a role in building up city wide basis maps which include also parking spaces on ancillary and suburban roads. We present a novel framework for automatic city wide classification of vehicles in moving, stopped and parked using aerial image sequences and information from a road database. The time span of observation of a specific vehicle during an image sequence is usually not long enough to decide unambiguously, whether a vehicle stopped e.g. before a traffic light or is parking along the road. Thus, the workflow includes a vehicle detection and tracking method as well as a rule-based fuzzy-logic workflow for the classification of vehicles. The workflow classifies stopped and parked vehicles by including the neighbourhood of each vehicle via a Delaunay-Graph. The presented method reaches correctness values of around 86.3\%, which is demonstrated using three different aerial image sequences. The results depend on several factors like detection quality and road database accuracy.}, language = {en} } @article{MeyerBrunnStilla, author = {Meyer, Theresa and Brunn, Ansgar and Stilla, Uwe}, title = {Geometric BIM verification of indoor construction sites by photogrammetric point clouds and evidence theory}, series = {ISPRS Journal of Photogrammetry and Remote Sensing}, volume = {195}, journal = {ISPRS Journal of Photogrammetry and Remote Sensing}, pages = {432 -- 445}, abstract = {Photogrammetric point clouds offer immense potential for various applications, especially for the AEC industry and "as-built" BIM. However, despite many advantages such as time and cost efficiency, image based point clouds of indoor environments mostly suffer from inhomogeneous and strongly fluctuating point-wise uncertainties. This lack of area-filling geometric reliability represents a strong barrier for innovations and further development of image based applications for as-built BIM, regarding both software and hardware. Therefore, this paper presents a method for the geometric verification of indoor BIMs by images and uncertainty management in order to unleash the potential of photogrammetry in context of professional building documentation heading towards "digital twinning". Individual 3D point accuracies, object's surface characteristics and BIM related uncertainties according to the Level of Accuracy (LOA) specification are assessed and taken into account. The final decision of whether or not a photogrammetric point cloud confirms a given model within its associated level of accuracy results from a combined reasoning pipeline based on Dempster-Shafer evidence theory. The novel Pho-to-BIM verification method is demonstrated on three real indoor construction sites, each 3D mapped with different image sensors. Based on the experiments it is shown how to set up belief functions for evidence based reasoning individually, depending on the measurement and site characteristics.}, language = {en} } @incollection{Brunn, author = {Brunn, Ansgar}, title = {A Step towards semantic-based building reconstruction using Markov-random-fields}, series = {IAPRS, ISPRS Congress}, volume = {32}, booktitle = {IAPRS, ISPRS Congress}, number = {B}, address = {Amsterdam}, abstract = {In this paper we describe a new concept for the reconstruction of buildings. In contrast to most of the published approaches, we link the reconstruction process with the building interpretation. With this linkage we want to enhance the reconstruction result and to yield semantic information about the buildings. We introduce building models based on their topology. We also may use data from different sensor types. The analysis is done locally using statistical building information for the interpretation in a Markov-Random-Field and using e. g. geometric or radiometric "appearance" models for the reconstruction. A real data example from laserscanner observations demonstrates the approach.}, language = {en} } @article{BrodovskiiKorovinChizhovaetal., author = {Brodovskii, Maksim and Korovin, Dmitrii and Chizhova, Maria and Brunn, Ansgar and Stilla, Uwe}, title = {Recognizing Separate Structural Elements of Churches Using Neural Network}, series = {Dreil{\"a}ndertagung der DGPF, der OVG und der SGPF in Bern, Schweiz - Publikationen der DGPF}, journal = {Dreil{\"a}ndertagung der DGPF, der OVG und der SGPF in Bern, Schweiz - Publikationen der DGPF}, abstract = {In this paper we develop a new approach to recognize structural elements of orthodox churches. We will work with 3D point clouds, received as a result of 3D point cloud acquisitions of churches, e.g. from laser scanning. Because of the large amount of points in such clouds, we have to use a projection (elevation) to decrease the calculation effort. To get meaningful images from the projection of the point cloud we do some prior segmentation of the 3D cloud. Images binary, with a predefined resolution that depends on the resolution of the 3D point cloud. To recognize elements we decide to use neural networks (Perceptron and Counter propagation neural networks) as they allow the automation of the process and have a broad range of methods to recognize images. For the subsequent 3D modeling we use analytic expressions, that describe each of the structural church elements. A further step is the deduction of those expressions that describe each of the recognized sectional views}, language = {en} } @inproceedings{MeyerBrunn, author = {Meyer, Theresa and Brunn, Ansgar}, title = {Digitale Photogrammetrie und Bildverarbeitung f{\"u}r kleine und mittlere Unternehmen durch "Blended Learning"}, series = {Dreil{\"a}nder-Tagung 2016, Bern}, booktitle = {Dreil{\"a}nder-Tagung 2016, Bern}, abstract = {Um Unternehmen bei der Integration aktuell stark im Fokus stehender, ber{\"u}hrungsloser Messverfahren zu unterst{\"u}tzen, wird in einem Projekt der Hochschule f{\"u}r angewandte Wissenschaften W{\"u}rzburg-Schweinfurt (FHWS), das hybride Bildungskonzept „Blended Learning" verfolgt. Ziel ist es, den Teilnehmern grundlegende Fachkenntnisse in digitaler Photogrammetrie und Bildverarbeitung zu vermitteln. Die Lehr- und Lernstrategien beruhen dabei auf einer Kombination von multimedialen online Lerneinheiten und „klassischen" Pr{\"a}senzveranstaltungen, weshalb sie sich besonders f{\"u}r eine Zielgruppe im t{\"a}glichen Arbeitsleben eignen. Eine stetig wachsende Projektteilnehmerzahl und deren stets große Beteiligung an den Aktivit{\"a}ten im Projekt, zeigen bisher eine positive Resonanz auf das spezielle Informationsangebot.}, language = {de} } @article{BrunnMeyer, author = {Brunn, Ansgar and Meyer, Theresa}, title = {Calibration of a Multi-Camera Rover}, series = {The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences}, journal = {The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences}, doi = {10.5194/isprs-archives-XLI-B5-445-2016}, pages = {445 -- 452}, abstract = {Multi-Camera-Rover are recently coming up for usual terrestrical surveying tasks. This technique is new for the surveyors. Although photogrammetric specialists realize the benefits of such systems immediately, surveyors have difficulties to find efficient usages. To approach this new measurement systems the technique has to be understood and the confidence on the accuray has to grow. In this paper we analyze the accuracy of a Multi-Camera-Rover using an indoor testfield by photogrammetric algorithms. The results show that the knowledge of the interior orientation parameter of the cameras and the relative orientation of the cameras is essential for precise geometric reconstructions. Knowing these additional data, high accurate results become possible.}, language = {en} } @inproceedings{BrunnLangGuelchetal., author = {Brunn, Ansgar and Lang, Felicitias and G{\"u}lch, Eberhard and F{\"o}rstner, Wolfgang}, title = {A Multi-Layer Strategy for 3D Building Aquisition}, series = {Proceedings of the IAPR-TC7 Workshop 1996 in Graz}, booktitle = {Proceedings of the IAPR-TC7 Workshop 1996 in Graz}, publisher = {Oldenbourg Verlag}, address = {Graz}, pages = {11 -- 37}, abstract = {In various projects we investigate on the extraction of buildings on di erent type and representation of data. This paper presents a strategy for 3D building acquisition which combines different approaches based on di erent levels of description. The approach consists of detectionofregions of interest and automatic and semiautomatic reconstruction of object parts and complete buildings. We incorporate the approach in a global concept of interaction between scene and sensors for image interpretation.}, language = {en} } @inproceedings{BrunnWich, author = {Brunn, Ansgar and Wich, Valentin}, title = {Kombiniertes Trolley- und Fahrzeug-basiertes innerst{\"a}dtisches Mapping in einer historischen Innenstadt}, series = {Beitr{\"a}ge zu den Oldenburger 3D-Tage 2022}, booktitle = {Beitr{\"a}ge zu den Oldenburger 3D-Tage 2022}, publisher = {Wichmann-Verlag}, language = {de} } @article{MeyerBrunnStilla, author = {Meyer, Theresa and Brunn, Ansgar and Stilla, Uwe}, title = {Accuracy investigation on image-based change detection for BIM compliant indoor models}, series = {ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences}, volume = {4}, journal = {ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences}, pages = {105 -- 112}, language = {en} }