Browsing by Subject "Autonomous driving"

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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 ...
  • Autonomes Fahren mit Hilfe der Magnetnageltechnik 
    Markgraf, Carsten (Hannover : Universität, 2002)
    [no abstract]
  • Confidence-aware pedestrian tracking using a stereo camera 
    Nguyen, U.; Rottensteiner, F.; Heipke, C. (Göttingen : Copernicus GmbH, 2019)
    Pedestrian tracking is a significant problem in autonomous driving. The majority of studies carries out tracking in the image domain, which is not sufficient for many realistic applications like path planning, collision ...
  • GATraj: A graph- and attention-based multi-agent trajectory prediction model 
    Cheng, Hao; Liu, Mengmeng; Chen, Lin; Broszio, Hellward; Sester, Monika; Yang, Michael Ying (Amsterdam [u.a.] : Elsevier, 2023)
    Trajectory prediction has been a long-standing problem in intelligent systems like autonomous driving and robot navigation. Models trained on large-scale benchmarks have made significant progress in improving prediction ...
  • Lidars for vehicles: from the requirements to the technical evaluation 
    Dai, Zhuoqun; Li, Yang; Sundermeier, Max Caspar; Grabe, Tobias; Lachmayer, Roland (Hannover : Institutionelles Repositorium der Leibniz Universität Hannover, 2021-06-17)
    Abstract— ADAS (Advanced Driver Assistance Systems) is a collective term of vehicle mounted sensors and devices aiming to improve traffic safety and realize high-level autonomous driving. Lidar systems are considered an ...
  • Precise Vehicle reconstruction for autonomous driving applications 
    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, ...