@article{FriedrichKrejcaRothenbergeretal.2019,
  author    = {Friedrich, Tobias and Krejca, Martin Stefan and Rothenberger, Ralf and Arndt, Tobias and Hafner, Danijar and Kellermeier, Thomas and Krogmann, Simon and Razmjou, Armin},
  title     = {Routing for on-street parking search using probabilistic data},
  series = {AI communications : AICOM ; the European journal on artificial intelligence},
  volume    = {32},
  journal   = {AI communications : AICOM ; the European journal on artificial intelligence},
  number    = {2},
  publisher = {IOS Press},
  address   = {Amsterdam},
  issn      = {0921-7126},
  doi       = {10.3233/AIC-180574},
  pages     = {113 -- 124},
  year      = {2019},
  abstract  = {A significant percentage of urban traffic is caused by the search for parking spots. One possible approach to improve this situation is to guide drivers along routes which are likely to have free parking spots. The task of finding such a route can be modeled as a probabilistic graph problem which is NP-complete. Thus, we propose heuristic approaches for solving this problem and evaluate them experimentally. For this, we use probabilities of finding a parking spot, which are based on publicly available empirical data from TomTom International B.V. Additionally, we propose a heuristic that relies exclusively on conventional road attributes. Our experiments show that this algorithm comes close to the baseline by a factor of 1.3 in our cost measure. Last, we complement our experiments with results from a field study, comparing the success rates of our algorithms against real human drivers.},
  language  = {en}
}
@misc{KovacsIonLopesetal.2019,
  author    = {Kovacs, Robert and Ion, Alexandra and Lopes, Pedro and Oesterreich, Tim and Filter, Johannes and Otto, Philip and Arndt, Tobias and Ring, Nico and Witte, Melvin and Synytsia, Anton and Baudisch, Patrick},
  title     = {TrussFormer},
  series = {The 31st Annual ACM Symposium on User Interface Software and Technology},
  journal   = {The 31st Annual ACM Symposium on User Interface Software and Technology},
  publisher = {Association for Computing Machinery},
  address   = {New York},
  isbn      = {978-1-4503-5971-9},
  doi       = {10.1145/3290607.3311766},
  pages     = {1},
  year      = {2019},
  abstract  = {We present TrussFormer, an integrated end-to-end system that allows users to 3D print large-scale kinetic structures, i.e., structures that involve motion and deal with dynamic forces. TrussFormer builds on TrussFab, from which it inherits the ability to create static large-scale truss structures from 3D printed connectors and PET bottles. TrussFormer adds movement to these structures by placing linear actuators into them: either manually, wrapped in reusable components called assets, or by demonstrating the intended movement. TrussFormer verifies that the resulting structure is mechanically sound and will withstand the dynamic forces resulting from the motion. To fabricate the design, TrussFormer generates the underlying hinge system that can be printed on standard desktop 3D printers. We demonstrate TrussFormer with several example objects, including a 6-legged walking robot and a 4m-tall animatronics dinosaur with 5 degrees of freedom.},
  language  = {en}
}
@misc{KovacsIonLopesetal.2018,
  author    = {Kovacs, Robert and Ion, Alexandra and Lopes, Pedro and Oesterreich, Tim and Filter, Johannes and Otto, Philip and Arndt, Tobias and Ring, Nico and Witte, Melvin and Synytsia, Anton and Baudisch, Patrick},
  title     = {TrussFormer},
  series = {UIST '18: Proceedings of the 31st Annual ACM Symposium on User Interface Software and Technology},
  journal   = {UIST '18: Proceedings of the 31st Annual ACM Symposium on User Interface Software and Technology},
  publisher = {Association for Computing Machinery},
  address   = {New York},
  isbn      = {978-1-4503-5948-1},
  doi       = {10.1145/3242587.3242607},
  pages     = {113 -- 125},
  year      = {2018},
  abstract  = {We present TrussFormer, an integrated end-to-end system that allows users to 3D print large-scale kinetic structures, i.e., structures that involve motion and deal with dynamic forces. TrussFormer builds on TrussFab, from which it inherits the ability to create static large-scale truss structures from 3D printed connectors and PET bottles. TrussFormer adds movement to these structures by placing linear actuators into them: either manually, wrapped in reusable components called assets, or by demonstrating the intended movement. TrussFormer verifies that the resulting structure is mechanically sound and will withstand the dynamic forces resulting from the motion. To fabricate the design, TrussFormer generates the underlying hinge system that can be printed on standard desktop 3D printers. We demonstrate TrussFormer with several example objects, including a 6-legged walking robot and a 4m-tall animatronics dinosaur with 5 degrees of freedom.},
  language  = {en}
}