Browsing by Subject "Mobile mapping"

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  • Hofmann, Sabine; Brenner, Claus (Göttingen : Copernicus GmbH, 2016)
    Mobile mapping data is widely used in various applications, what makes it especially important for data users to get a statistically verified quality statement on the geometric accuracy of the acquired point clouds or its ...
  • Schachtschneider, Julia; Schlichting, Alexander; Brenner, Claus (London : International Society for Photogrammetry and Remote Sensing, 2017)
    Self-driving cars and robots that run autonomously over long periods of time need high-precision and up-to-date models of the changing environment. The main challenge for creating long term maps of dynamic environments is ...
  • 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). ...
  • 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 ...
  • 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 ...
  • 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 ...
  • Schlichting, Alexander; Brenner, Claus (Göttingen : Copernicus GmbH, 2016)
    LiDAR sensors are proven sensors for accurate vehicle localization. Instead of detecting and matching features in the LiDAR data, we want to use the entire information provided by the scanners. As dynamic objects, like ...
  • Eggert, Daniel; Schulze, E.C. (Hannover : International Society for Photogrammetry and Remote Sensing, 2014)
    Visualizing big point-clouds, such as those derived from mobile mapping data, is not an easy task. Therefore many approaches have been proposed, based on either reducing the overall amount of data or the amount of data ...