Auflistung nach Schlagwort "Roads and streets"

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  • Identification of similarities and prediction of unknown features in an urban street network 
    Feuerhake, Udo; Wage, O.; Sester, M.; Tempelmeier, N.; Nejdl, W.; Demidova, E. (Göttingen : Copernicus GmbH, 2018)
    Accurate predictions of the characteristics of urban streets in particular with respect to the typical traffic situations are crucial for numerous real world applications such as navigation, scheduling of logistic and ...
  • Incremental data acquisition from gps-traces 
    Zhang, L.; Sester, Monika (Göttingen : Copernicus Publications, 2011)
    GPS traces can track actual time and coordinates of regular vehicles going their own business, and it is easy to scale to the entire area with an accuracy of 6 to 10 meters in normal condition. As a result, extracting road ...
  • Intersection detection based on qualitative spatial reasoning on stopping point clusters 
    Zourlidou, S.; Sester, Monika (Göttingen : Copernicus GmbH, 2016)
    The purpose of this research is to propose and test a method for detecting intersections by analysing collectively acquired trajectories of moving vehicles. Instead of solely relying on the geometric features of the ...
  • Junction extraction by artificial neural network system – Jeans 
    Barsi, Arpad; Heipke, Christian; Willrich, Felicitas ([Wechselnde Verlagsorte] : ISPRS, 2002)
    The paper presents a road junction operator, which was developed for medium resolution black-and-white orthoimages. The operator uses a feed-forward neural network applied for a running window to decide whether it contains ...
  • Multiple-model based verification of japanese road data 
    Ziems, M.; Fujimura, H.; Heipke, Christian; Rottensteiner, Franz (Göttingen : Copernicus GmbH, 2010)
    This paper describes a semi-automatic system for road verification from high resolution orthophotos in an urban context. The system combines several road detection and road verification approaches from current literature ...
  • Road Network Representation Learning with Vehicle Trajectories 
    Schestakov, Stefan; Heinemeyer, Paul; Demidova, Elena (Berlin ; Heidelberg : Springer, 2023)
    Spatio-temporal traffic patterns reflecting the mobility behavior of road users are essential for learning effective general-purpose road representations. Such patterns are largely neglected in state-of-the-art road ...
  • Road safety enhancement: An investigation on the visibility of on-road image projections using DMD-based pixel light systems 
    Rizvi, Sadiq; Ley, Peer-Phillip; Knöchelmann, Marvin; Lachmayer, Roland (Bellingham, Wash. : SPIE, 2018)
    Research reveals that visual information forms the major portion of the received data for driving. At night -owing to the, sometimes scarcity, sometime inhomogeneity of light- the human physiology and psychology experiences ...
  • Survey of on-road image projection with pixel light systems 
    Rizvi, Sadiq; Knöchelmann, Marvin; Ley, Peer-Phillip; Lachmayer, Roland (Bellingham, Wash. : SPIE, 2017)
    HID, LED and laser-based high resolution automotive headlamps, as of late known as pixel light systems', are at the forefront of the developing technologies paving the way for autonomous driving. In addition to light ...
  • Trajectory extraction for analysis of unsafe driving behaviour 
    Koetsier, C.; Busch, S.; Sester, M. (Göttingen : Copernicus GmbH, 2019)
    The environment of the vehicle can significantly influence the driving situation. Which conditions lead to unsafe driving behaviour is not always clear, also not to a human driver, as the causes might be unconscious, and ...