@inproceedings{HuthElsenHartwigetal.2006,
  author    = {Huth, Thomas and Elsen, Olaf and Hartwig, Christoph and Esch, Thomas},
  title     = {Innovative modular valve trains for 2015 - logistic benefits by EMVT},
  series = {IFAC Proceedings Volumes, Volume 39, Issue 3},
  booktitle = {IFAC Proceedings Volumes, Volume 39, Issue 3},
  publisher = {Elsevier},
  address   = {Amsterdam},
  doi       = {10.3182/20060517-3-FR-2903.00172},
  pages     = {315 -- 320},
  year      = {2006},
  abstract  = {In this paper the way to a 5-day-car with respect to a modular valve train systems for spark ignited combustion engines is shown. The necessary product diversity is shift from mechanical or physical components to software components. Therefore, significant improvements of logistic indicators are expected and shown. The working principle of a camless cylinder head with respect to an electromagnetical valve train (EMVT) is explained and it is demonstrated that shifting physical diversity to software is feasible. The future design of combustion engine systems including customisation can be supported by a set of assistance tools which is shown exemplary.},
  language  = {en}
}
@inproceedings{ThomaStiemerBraunetal.2023,
  author    = {Thoma, Andreas and Stiemer, Luc and Braun, Carsten and Fisher, Alex and Gardi, Alessandro G.},
  title     = {Potential of hybrid neural network local path planner for small UAV in urban environments},
  series = {AIAA SCITECH 2023 Forum},
  booktitle = {AIAA SCITECH 2023 Forum},
  publisher = {AIAA},
  doi       = {10.2514/6.2023-2359},
  pages     = {13 Seiten},
  year      = {2023},
  abstract  = {This work proposes a hybrid algorithm combining an Artificial Neural Network (ANN) with a conventional local path planner to navigate UAVs efficiently in various unknown urban environments. The proposed method of a Hybrid Artificial Neural Network Avoidance System is called HANNAS. The ANN analyses a video stream and classifies the current environment. This information about the current Environment is used to set several control parameters of a conventional local path planner, the 3DVFH*. The local path planner then plans the path toward a specific goal point based on distance data from a depth camera. We trained and tested a state-of-the-art image segmentation algorithm, PP-LiteSeg. The proposed HANNAS method reaches a failure probability of 17\%, which is less than half the failure probability of the baseline and around half the failure probability of an improved, bio-inspired version of the 3DVFH*. The proposed HANNAS method does not show any disadvantages regarding flight time or flight distance.},
  language  = {en}
}
@inproceedings{HavermannSeilerHenning2010,
  author    = {Havermann, Marc and Seiler, F. and Henning, P.},
  title     = {Shock Tunnel Experiments and CFD Simulation of Lateral Jet Interaction in Hypersonic Flows},
  series = {New Results in Numerical and Experimental Fluid Mechanics VII; Contributions to the 16th STAB/DGLR Symposium Aachen, Germany 2008},
  booktitle = {New Results in Numerical and Experimental Fluid Mechanics VII; Contributions to the 16th STAB/DGLR Symposium Aachen, Germany 2008},
  editor    = {Dillmann, Andreas and Heller, Gerd and Klaas, Michael and Kreplin, Hans-Peter and Nitsche, Wolfgang and Schr{\"o}der, Wolfgang},
  publisher = {Springer},
  address   = {Berlin},
  isbn      = {9783642142437},
  doi       = {10.1007/978-3-642-14243-7_45},
  pages     = {365 -- 372},
  year      = {2010},
  language  = {en}
}