Auflistung Fakultät für Bauingenieurwesen und Geodäsie nach Schlagwort "Computer science"

Auflistung Fakultät für Bauingenieurwesen und Geodäsie nach Schlagwort "Computer science"

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  • Accuracy analysis of a low-cost platform for positioning and navigation 
    Hofmann, Sabine; Kuntzsch, C.; Schulze, Malte Jan; Eggert, D.; Sester, Monika (Göttingen : Copernicus GmbH, 2012)
    This paper presents an accuracy analysis of a platform based on low-cost components for landmark-based navigation intended for research and teaching purposes. The proposed platform includes a LEGO MINDSTORMS NXT 2.0 kit, ...
  • Analyzing a block of HRSC image strips for a simultaneous bundle adjustment 
    Bostelmann, Jonas; Heipke, Christian (Göttingen : Copernicus GmbH, 2014)
    10 years ago the first European interplanetary mission Mars Express was launched and sent into orbit around Mars. One of the scientific instruments on board the orbiter is the High Resolution Stereo Camera (HRSC). This ...
  • Boosted unsupervised multi-source selection for domain adaptation 
    Vogt, Karsten; Paul, A.; Ostermann, Jörn; Rottensteiner, Franz; Heipke, Christian (Göttingen : Copernicus GmbH, 2017)
    Supervised machine learning needs high quality, densely sampled and labelled training data. Transfer learning (TL) techniques have been devised to reduce this dependency by adapting classifiers trained on different, but ...
  • Building generalization using deep learning 
    Sester, Monika; Feng, Yu; Thiemann, Frank (Göttingen : Copernicus GmbH, 2018)
    Cartographic generalization is a problem, which poses interesting challenges to automation. Whereas plenty of algorithms have been developed for the different sub-problems of generalization (e.g. simplification, displacement, ...
  • Context models for crf-based classification of multitemporal remote sensing data 
    Hoberg, Thorsten; Rottensteiner, Franz; Heipke, Christian (Göttingen : Copernicus GmbH, 2012)
    The increasing availability of multitemporal satellite remote sensing data offers new potential for land cover analysis. By combining data acquired at different epochs it is possible both to improve the classification ...
  • Context-based urban terrain reconstruction from images and videos 
    Bulatov, Dimitri; Rottensteiner, Franz; Schulz, Karsten (Göttingen : Copernicus GmbH, 2012)
    Detection of buildings and vegetation, and even more reconstruction of urban terrain from sequences of aerial images and videos is known to be a challenging task. It has been established that those methods that have as ...
  • Data mining for classification of high volume dense lidar data in an urban area 
    Chauhan, I.; Brenner, Claus (Göttingen : Copernicus GmbH, 2018)
    3D LiDAR point cloud obtained from the laser scanner is too dense and contains millions of points with information. For such huge volume of data to be sorted, identified, validated and be used for prediction, data mining ...
  • An efficient method to detect mutual overlap of a large set of unordered images for structure-from-motion 
    Wang, X.; Zhan, Z.Q.; Heipke, Christian (Göttingen : Copernicus GmbH, 2017)
    Recently, low-cost 3D reconstruction based on images has become a popular focus of photogrammetry and computer vision research. Methods which can handle an arbitrary geometric setup of a large number of unordered and ...
  • Enhancing the resolution of urban digital terrain models using mobile mapping systems 
    Feng, Yu; Brenner, Claus; Sester, Monika (Göttingen : Copernicus GmbH, 2018)
    Digital Terrain Models (DTMs) are essential surveying products for terrain based analyses, especially for overland flow modelling. Nowadays, many high resolution DTM products are generated by Airborne Laser Scanning (ALS). ...
  • High accurate pointwise (geo-)referencing of a k-tls based multi-sensor-system 
    Hartmann, J.; Trusheim, P.; Alkhatib, H.; Paffenholz, Jens-André; Diener, D.; Neumann, Ingo (Göttingen : Copernicus GmbH, 2018)
    In recent years, the requirements in the industrial production, e.g., ships or planes, have been increased. In addition to high accuracy requirements with a standard deviation of 1 mm, an efficient 3D object capturing is ...
  • The ISPRS benchmark on urban object classification and 3d building reconstruction 
    Rottensteiner, Franz; Sohn, Gunho; Jung, Jaewook; Gerke, Markus; Baillard, Caroline; Benitez, Sebastien; Breitkopf, Uwe (Göttingen : Copernicus GmbH, 2012)
    For more than two decades, many efforts have been made to develop methods for extracting urban objects from data acquired by airborne sensors. In order to make the results of such algorithms more comparable, benchmarking ...
  • Land Use Classification Using Conditional Random Fields for the Verification of Geospatial Databases 
    Albert, Lena; Rottensteiner, Franz; Heipke, Christian (Göttingen : Copernicus GmbH, 2014)
    Geospatial land use databases contain important information with high benefit for several users, especially when they provide a detailed description on parcel level. Due to many changes connected with a high effort of the ...
  • Mapping similarities in temporal parking occupancy behavior based on city-wide parking meter data 
    Bock, Fabian; Xia, Karen; Sester, Monika (Göttingen : Copernicus GmbH, 2018)
    The search for a parking space is a severe and stressful problem for drivers in many cities. The provision of maps with parking space occupancy information assists drivers in avoiding the most crowded roads at certain ...
  • Multi-layer visualization of mobile mapping data 
    Eggert, D.; Sester, Monika (Göttingen : Copernicus GmbH, 2013)
    Application various different visualization schemes are conceivable. This paper presents a multi-layer based visualization method, enabling fast data browsing of mobile mapping data. In contrast to systems like Google ...
  • Network snakes for adapting GIS roads to height data of different data sources - performance analysis using als data and stereo images 
    Göpfert, Jens; Rottensteiner, Franz; Heipke, Christian (Göttingen : Copernicus GmbH, 2012)
    In order to tackle the problem of consistently integrating 2D vector data and a DTM, we presented an approach for the adaptation of 2D GIS road objects to airborne laser scanning (ALS) data using active contours (snakes) ...
  • Octree-based SIMD strategy for ICP registration and alignment of 3d point clouds 
    Eggert, D.; Dalyot, S. (Göttingen : Copernicus GmbH, 2012)
    Matching and fusion of 3D point clouds, such as close range laser scans, is important for creating an integrated 3D model data infrastructure. The Iterative Closest Point algorithm for alignment of point clouds is one of ...
  • Prediction of individual's movement based on interesting places 
    Feuerhake, Udo (Göttingen : Copernicus GmbH, 2012)
    In general, the development of prediction methods is a quite challenging field. However, as difficult the development is, as useful those methods can be in a large variety of use cases. Whether the weather of tomorrow or ...
  • Probabilistic multi-person tracking using dynamic bayes networks 
    Klinger, Tobias; Rottensteiner, Franz; Heipke, Christian (Göttingen : Copernicus GmbH, 2015)
    Tracking-by-detection is a widely used practice in recent tracking systems. These usually rely on independent single frame detections that are handled as observations in a recursive estimation framework. If these observations ...
  • Qtrajectories: improving the quality of object tracking using self-organizing camera networks 
    Jaenen, Uwe; Feuerhake, Udo; Klinger, Tobias; Muhle, Daniel; Haehner, Joerg; Sester, Monika; Heipke, Christian (Göttingen : Copernicus GmbH, 2012)
    Previous work in the research field of video surveillance intensively focused on separated aspects of object detection, data association, pattern recognition and system design. In contrast, we propose a holistic approach ...
  • Skyline matching based camera orientation from images and mobile mapping point clouds 
    Hofmann, Sabine; Eggert, Daniel; Brenner, Claus (Göttingen : Copernicus GmbH, 2014)
    Mobile Mapping is widely used for collecting large amounts of geo-referenced data. An important role plays sensor fusion, in order to evaluate multiple sensors such as laser scanner and cameras jointly. This requires to ...

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