Zeitraum
01.Nov.2011 - 31.Okt.2014
Ansprechpartner
Sekretariat
Tel.: +49(0)228.73-1751
Projektleiter
Zusammen-
fassung
The goal of the project is the development and testing of procedures and algorithms for the fast three-dimensional identification and mensuration of inaccessible objects on the basis of a semantically specified user inquiry. The sensor platform is a lightweight autonomously flying drone. It uses the visual information from cameras for navigation, obstacle detection, exploration and object acquisition. Our group will develop the appropiate models, methods and algorithms and evaluates them prototypically in suburban areas, using building structures, vegetation and stationary traffic detection as examples. Key elements of the develped methods are the problem-specific generation of models of complex spatiotemporal patterns and the explicit treatment of the uncertainty of data and models. One can summarize the technology necessary for the solution of these tasks with the term "Mapping on Demand". "Mapping on Demand" covers all processes, algorithms and tools for the acquisition of new data and the processing and interpretation of existing data. The goal is to derive a visual model of the spatial phenomena and draw user specified space-related conclusions, which should be in time from the point of view of the user. The development of this technology is necessary for two reasons:

  • Due to the online three-dimensional reconstruction of the environment the aircraft can react autonomously to obstacles and field-of-view obstacles and bypass them. So a very high completeness of the reconstruction can be reached.
  • Since the visual information is interpreted immediately, relevant information for the user about the object is already present during the flight or at least at the end of the flight. This information can be used for subsequent decisions.


  • The user of such an acquisition and exploration system is relieved concerning navigation, and gets an application-specific spatiotemporal interpreted representation of the object. The goal of the project therefore can be clearly distinguished from classical procedures of simultaneous localization and mapping (SLAM), as it concerns simultaneous navigation and interpretation. There is a very wide variety of applications so that the project members concentrate first on simple search, identification and reconstruction tasks in suburban areas. However the realization takes place in a context of science, which can use each kind of provisional technical results immediately, for example geosciences and agricultural sciences.

    P7.
    An Incremental Refinement of a Semantic Building and Landscape Model

    Based on the surface interpretation and using a scene model, the aim of this project is to achieve an incremental interpretation of the scene. The latter is integrated into the map management modul. Simultaneously, key information about potential obstacles such as overhead lines will be provided to facilitate navigation. The innovative value of this project lies in the ability to predict previously unobserved substructures based on symmetry recognition as well as in the incremental semantic interpretation of the geometric map. The latter is available in different levels of detail and is based on the flight movement of the drone using attributed grammars and relational learning.
    Weitere Information
    Publikationen zum Projekt
    Dehbi, Youness / Hadiji, Fabian / Gröger, Gerhard / Kersting, Kristian / Plümer, Lutz:
    Statistical Relational Learning of Grammar Rules for 3D Building Reconstruction
    In: Transactions in GIS, 2017, Heft 1, S. 134-150.
    [ BibTeX ]

    Extern
    Dehbi, Youness / Gröger, Gerhard / Plümer, Lutz:
    Identification and modelling of translational and axial symmetries and their structures in building footprints by formal grammars
    In: Transactions in GIS, 20. Jg. 2016, Heft 5, S. 645-663.
    [ BibTeX ]

    Extern
    Dehbi, Youness / Staat, Christiane / Mandtler, Leonard / Plümer, Lutz:
    Incremental Refinement of Façade Models with Attribute Grammar from 3D Point Clouds
    In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016, Heft III-3, S. 311-316.
    [ BibTeX ]

    Extern
    Loch-Dehbi, Sandra / Plümer, Lutz:
    Predicting building façade structures with multilinear Gaussian graphical models based on few observations
    In: Computer, Environment and Urban Systems, 2015, Heft 54, S. 68-81.
    [ BibTeX ]

    Extern
    Henn, André / Gröger, Gerhard / Stroh, Viktor / Plümer, Lutz:
    Model driven reconstruction of roofs from sparse LIDAR point clouds
    In: ISPRS Journal of Photogrammetry & Remote Sensing, 2013, Heft 76, S. 17-29.

    Extern
    Loch-Dehbi, Sandra / Dehbi, Youness / Plümer, Lutz:
    Stochastic reasoning for UAV supported reconstruction of 3D building models
    In: ISPRS Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 2013, Heft XL-1/W2, S. 257-261.
    Gröger, Gerhard / Plümer, Lutz:
    Provably correct and complete transaction rules for updating 3D city models
    In: Geoinformatica, 16. Jg. 2012, Heft 1, S. 131-164.
    [ BibTeX ]

    Extern
    Gröger, Gerhard / Plümer, Lutz:
    Transaction Rules for Updating Surfaces in 3D GIS
    In: ISPRS Journal of Photogrammetry & Remote Sensing, 67. Jg. 2012, Heft 69.
    [ BibTeX ]

    Extern
    Henn, André / Römer, Christoph / Gröger, Gerhard / Plümer, Lutz:
    Automatic classification of building types in 3D city models - Using SVMs for semantic enrichment of low resolution building data
    In: Geoinformatica, 16. Jg. 2012, Heft 2, S. 281-306.
    [ BibTeX ]

    Extern
    Dehbi, Youness / Plümer, Lutz:
    Learning Grammar Rules of Building Parts from Precise Models and Noisy Observations
    In: ISPRS Journal of Photogrammetry & Remote Sensing, 66. Jg. 2011, Heft 2, S. 166-176.

    Extern
    Gröger, Gerhard / Plümer, Lutz:
    How to Achieve Consistency for 3D City Models
    In: Geoinformatica, 15. Jg. 2011, Heft 1, S. 137-165.

    3.1 M
    Loch-Dehbi, Sandra / Plümer, Lutz:
    Automatic Reasoning for Geometric Constraints in 3D City Models with Uncertain Observations
    In: ISPRS Journal of Photogrammetry & Remote Sensing, 66. Jg. 2011, Heft 2, S. 177-187.

    Extern
    Römer, Christoph / Plümer, Lutz:
    Identifying Architectural Style in 3D City Models with Support Vector Machines
    In: Photogrammetrie, Fernerkundung, Geoinformation PFG, 2010, Heft 5, S. 371-384.

    Extern