Auflistung nach Schlagwort "autonomous driving"

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  • Baasch, Kai-Niklas; Icking, Lucy; Ruwisch, Fabian; Schoen, Steffen (Basel : MDPI, 2023)
    3D Mapping-Aided (3DMA) Global Navigation Satellite System (GNSS) is a widely used method to mitigate multipath errors. Various research has been presented which utilizes 3D building model data in conjunction with ray-tracing ...
  • Glück, Tobias; Biermann, Tobias; Wolf, Alexander; Budig, Sören; Ziebehl, Arved; Knöchelmann, Marvin; Lachmayer, Roland (Basel : MDPI, 2021)
    With regard to autonomous driving, on-road projections cannot only be used for communication with the driver but also with other road users. Our study aims to investigate the distraction potential for other road users when ...
  • Lamberg, Jonas (Torino : Politecnico di Torino, 2022)
    Autonomous driving in public transport is becoming increasingly popular in Germany. The reasons for this are manifold – as are the challenges in the implementation. The aim of this article is to highlight these reasons and ...
  • Coenen, M.; Rottensteiner, F.; Heipke, C. (Göttingen : Copernicus GmbH, 2019)
    Interactive motion planing and collaborative positioning will play a key role in future autonomous driving applications. For this purpose, the precise reconstruction and pose estimation of other traffic participants, ...
  • Dai, Zhuoqun; Wolf, Alexander; Ley, Peer-Phillip; Glück, Tobias; Sundermeier, Max Caspar; Lachmayer, Roland (Basel : MDPI, 2022)
    Light detection and ranging (LiDAR) are fundamental sensors that help driving tasks for autonomous driving at various levels. Commercially available systems come in different specialized design schemes and involve plenty ...
  • El Amrani Abouelassad, S.; Mehltretter, M.; Rottensteiner, F. (Katlenburg-Lindau : Copernicus Publications, 2023)
    Vehicle reconstruction from single aerial images is an important but challenging task. In this work, we introduce a new framework based on convolutional neural networks (CNN) that performs monocular detection, pose, shape ...