Auflistung Fakultät für Bauingenieurwesen und Geodäsie nach Autor/in "85915806-7892-4787-aa82-415e8367abd3"

Auflistung Fakultät für Bauingenieurwesen und Geodäsie nach Autor/in "85915806-7892-4787-aa82-415e8367abd3"

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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 ...
  • Accuracy assessment of mobile mapping point clouds using the existing environment as terrestrial reference 
    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 ...
  • Analysis of spatio-temporal traffic patterns based on pedestrian trajectories 
    Busch, S.; Schindler, T.; Klinger, Tobias; Brenner, Claus (Göttingen : Copernicus GmbH, 2016)
    For driver assistance and autonomous driving systems, it is essential to predict the behaviour of other traffic participants. Usually, standard filter approaches are used to this end, however, in many cases, these are not ...
  • 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 ...
  • Conditional Adversarial Networks for Multimodal Photo-Realistic Point Cloud Rendering 
    Peters, Torben; Brenner, Claus ([Cham] : Springer International Publishing, 2020)
    We investigate whether conditional generative adversarial networks (C-GANs) are suitable for point cloud rendering. For this purpose, we created a dataset containing approximately 150,000 renderings of point cloud–image ...
  • Cooperative information augmentation in a geosensor network 
    Schulze, Malte Jan; Brenner, Claus; Sester, Monika (Göttingen : Copernicus GmbH, 2010)
    This paper presents a concept for the collaborative distributed acquisition and refinement of geo-related information. The underlying idea is to start with a massive amount of moving sensors which can observe and measure ...
  • 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 ...
  • 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 ...
  • 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). ...
  • Evaluation of automatically extracted landmarks for future driver assistance systems 
    Brenner, Claus; Hofmann, Sabine (Göttingen : Copernicus GmbH, 2010)
    In the future, vehicles will gather more and more spatial information about their environment, using on-board sensors such as cameras and laser scanners. Using this data, e.g. for localization, requires highly accurate ...
  • Generalization of tiled models with curved surfaces using typification 
    Guercke, Richard; Zhao, Junqiao; Brenner, Claus; Zhu, Qing (Göttingen : Copernicus GmbH, 2010)
    Especially for landmark buildings or in the context of cultural heritage documentation, highly detailed digital models are being created in many places. In some of these models, surfaces are represented by tiles which are ...
  • GPS-aided video tracking 
    Feuerhake, Udo; Brenner, Claus; Sester, Monika (Basel : MDPI AG, 2015)
    Tracking moving objects is both challenging and important for a large variety of applications. Different technologies based on the global positioning system (GPS) and video or radio data are used to obtain the trajectories ...
  • Improving deep learning based semantic segmentation with multi view outliner correction 
    Peters, Torben; Brenner, Claus; Song, M. (Katlenburg-Lindau : Copernicus Publications, 2020)
    The goal of this paper is to use transfer learning for semi supervised semantic segmentation in 2D images: given a pretrained deep convolutional network (DCNN), our aim is to adapt it to a new camera-sensor system by ...
  • Integrity and collaboration in dynamic sensor networks 
    Schön, Steffen; Brenner, Claus; Alkhatib, Hamza; Coenen, Max; Dbouk, Hani; Garcia-Fernandez, Nicolas; Fischer, Colin; Heipke, Christian; Lohmann, Katja; Neumann, Ingo; Nguyen, Uyen; Paffenholz, Jens-André; Peters, Torben; Rottensteiner, Franz; Schachtschneider, Julia; Sester, Monika; Sun, Ligang; Vogel, Sören; Voges, Raphael; Wagner, Bernardo (Basel : MDPI AG, 2018)
    Global Navigation Satellite Systems (GNSS) deliver absolute position and velocity, as well as time information (P, V, T). However, in urban areas, the GNSS navigation performance is restricted due to signal obstructions ...
  • Learning a Precipitation Indicator from Traffic Speed Variation Patterns 
    Feng, Yu; Brenner, Claus; Sester, Monika (Amsterdam [u.a.] : Elsevier, 2020)
    It is common sense that traffic participants tend to drive slower under rain or snow conditions, which has been confirmed by many studies in the field of transportation research. When analyzing the relation between ...
  • Quality assessment of landmark based positioning using stereo cameras 
    Hofmann, Sabine; Schulze, Malte Jan; Sester, Monika; Brenner, Claus (Göttingen : Copernicus GmbH, 2011)
    Driving autonomously requires highly accurate positioning. Therefore, alternative positioning systems to GPS are required especially to increase the accuracy, and to have a complementary data source in areas where GPS is ...
  • 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 ...
  • 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 ...
  • Vehicle localization using landmarks obtained by a lidar mobile mapping system 
    Brenner, Claus (Göttingen : Copernicus GmbH, 2010)
    Accurate and reliable localization in extensive outdoor environments will be a key ability of future driver assistance systems and autonomously driving vehicles. Relative localization, using sensors and a pre-mapped ...

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