Browsing by Subject "LiDAR"

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  • Feng, Yu; Schlichting, Alexander; Brenner, Claus (Göttingen : Copernicus GmbH, 2016)
    Accurate positioning of vehicles plays an important role in autonomous driving. In our previous research on landmark-based positioning, poles were extracted both from reference data and online sensor data, which were then ...
  • Busch, S. (London : International Society for Photogrammetry and Remote Sensing, 2019)
    LiDAR systems are frequently used for driver assistance systems. The minimal distance to other objects and the exact pose of a vehicle is important for ego movement prediction. Therefore, in this work, we extract the poses ...
  • 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 ...
  • Schmidt, Alena; Rottensteiner, Franz; Sörgel, Uwe (Göttingen : Copernicus GmbH, 2012)
    In this paper we investigate the influence of contextual knowledge for the classification of airborne laser scanning data in Wadden Sea areas. For this propose we use Conditional Random Fields (CRF) for the classification ...
  • Niemeyer, Joachim; Mallet, C.; Rottensteiner, Franz; Sörgel, Uwe (Göttingen : Copernicus GmbH, 2011)
    In this paper we propose a probabilistic supervised classification algorithm for LiDAR (Light Detection And Ranging) point clouds. Several object classes (i.e. ground, building and vegetation) can be separated reliably by ...
  • Niemeyer, Joachim; Rottensteiner, Franz; Sörgel, Uwe; Heipke, Christian (Hannover : International Society for Photogrammetry and Remote Sensing, 2015)
    In this investigation, we address the task of airborne LiDAR point cloud labelling for urban areas by presenting a contextual classification methodology based on a Conditional Random Field (CRF). A two-stage CRF is set up: ...
  • Schachtschneider, Julia; Brenner, Claus (Katlenburg-Lindau : Copernicus Publications, 2020)
    The development of automated and autonomous vehicles requires highly accurate long-term maps of the environment. Urban areas contain a large number of dynamic objects which change over time. Since a permanent observation ...
  • Paffenholz, Jens-André (München : Verlag der Bayerischen Akademie der Wissenschaften, 2012)
    A broad range of scientific, administrative, industrial and private users demand for detailed three dimensional (3D) spatial data with typical applications in, for instance, as-built documentation, construction engineering, ...
  • Niemeyer, Joachim; Sörgel, Uwe (Hannover : International Society for Photogrammetry and Remote Sensing, 2013)
    Traditional ship-based bathymetric surveys based on echo sounding are expensive and time consuming. This paper presents a project with the aim of identifying the opportunities of airborne laser bathymetry for the monitoring ...
  • Kazimi, Bashir (Hannover : Leibniz Universität Hannover, 2021)
    Detecting and localizing archaeological monuments and historical man-made terrain structures is essential for learning and preserving our cultural heritage. With the advancement of laser scanning technology, it is possible ...
  • 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 ...