Auflistung nach Schlagwort "LiDAR"

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  • 3D feature point extraction from LiDAR data using a neural network 
    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 ...
  • Active shape model precision analysis of vehicle detection in 3D lidar point clouds 
    Busch, S. (Göttingen : Copernicus GmbH, 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 ...
  • Assessing temporal behavior in lidar point clouds of urban environments 
    Schachtschneider, Julia; Schlichting, Alexander; Brenner, Claus (Göttingen : Copernicus GmbH, 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 ...
  • Classification and Change Detection in Mobile Mapping LiDAR Point Clouds 
    Voelsen, Mirjana; Schachtschneider, Julia; Brenner, Claus ([Cham] : Springer International Publishing, 2021)
    Creating 3D models of the static environment is an important task for the advancement of driver assistance systems and autonomous driving. In this work, a static reference map is created from a Mobile Mapping “light detection ...
  • Classification of airborne laser scanning data in wadden sea areas using conditional random fields 
    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 ...
  • Conditional random fields for the classification of lidar point clouds 
    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 ...
  • Contextual classification of point clouds using a two-stage CRF 
    Niemeyer, Joachim; Rottensteiner, Franz; Sörgel, Uwe; Heipke, Christian (Göttingen : Copernicus GmbH, 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: ...
  • Creating multi-temporal maps of urban environments of improved localization of autonomous vehicles 
    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 ...
  • Direct geo-referencing of 3D point clouds with 3D positioning sensors 
    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, ...
  • Incremental map refinement of building information using lidar point clouds 
    Zou, Q.; Sester, M. (Katlenburg-Lindau : Copernicus Publications, 2021)
    For autonomous systems, an accurate and precise map of the environment is of importance. Mapping from LiDAR point clouds is one of the promising ways to generate 3D environment models. However, there are many problems ...
  • Maximum consensus localization using lidar sensors 
    Axmann, J.; Brenner, C. (Katlenburg-Lindau : Copernicus, 2021)
    Real world localization tasks based on LiDAR usually face a high proportion of outliers arising from erroneous measurements and changing environments. However, applications such as autonomous driving require a high integrity ...
  • Opportunities of airborne laser bathymetry for the monitoring of the sea bed on the Baltic Sea coast 
    Niemeyer, Joachim; Sörgel, Uwe (Göttingen : Copernicus GmbH, 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 ...
  • Self Supervised Learning for Detection of Archaeological Monuments in LiDAR Data 
    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 ...
  • State-wide calculation of terrain-visualisations and automatic map generation for archaeological objects 
    Thiemann, F.; Schulze, M.; Böhner, U. (Katlenburg-Lindau : Copernicus Publications, 2021)
    Airborne laser scanning (ALS) became very popular in the last two decades for archaeological prospection. With the state-wide availability of ALS-data in Lower Saxony, Germany, about 48,000 km2;, we needed flexible and ...
  • Three-Dimensional Mapping of Habitats Using Remote-Sensing Data and Machine-Learning Algorithms 
    Amani, Meisam; Foroughnia, Fatemeh; Moghimi, Armin; Mahdavi, Sahel; Jin, Shuanggen (Basel : MDPI, 2023)
    Progress toward habitat protection goals can effectively be performed using satellite imagery and machine-learning (ML) models at various spatial and temporal scales. In this regard, habitat types and landscape structures ...
  • Uncertainty Representation and Quantification of 3d Building Models 
    Zou, Q.; Sester, M. (Katlenburg-Lindau : Copernicus Publications, 2022)
    The quality of environmental perception is of great interest for localization tasks in autonomous systems. Maps, generated from the sensed information, are often used as additional spatial references in these applications. ...
  • Vehicle localization by lidar point correlation improved by change detection 
    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 ...