@incollection{SchwarteHeinolBuxbaumetal.1999,
  author    = {Schwarte, Rudolf and Heinol, Horst-Guenther and Buxbaum, Bernd and Ringbeck, Thorsten and [u.a.],},
  title     = {Principles of three-dimensional imaging techniques},
  series = {Sensors and imaging. - (Handbook of computer vision and applications ; Vol. 1)},
  booktitle = {Sensors and imaging. - (Handbook of computer vision and applications ; Vol. 1)},
  editor    = {J{\"a}hne, Bernd},
  publisher = {Academic Press},
  address   = {San Diego},
  isbn      = {0-12-379771-3 (Einzelbd.)},
  pages     = {463 -- 485},
  year      = {1999},
  language  = {en}
}
@incollection{NiemuellerLakemeyerReuteretal.2017,
  author    = {Niemueller, T. and Lakemeyer, G. and Reuter, S. and Jeschke, S. and Ferrein, Alexander},
  title     = {Benchmarking of Cyber-Physical Systems in Industrial Robotics: The RoboCup Logistics League as a CPS Benchmark Blueprint},
  series = {Cyber-Physical Systems: Foundations, Principles and Applications},
  booktitle = {Cyber-Physical Systems: Foundations, Principles and Applications},
  publisher = {Academic Press},
  address   = {London},
  doi       = {10.1016/B978-0-12-803801-7.00013-4},
  pages     = {193 -- 207},
  year      = {2017},
  abstract  = {In the future, we expect manufacturing companies to follow a new paradigm that mandates more automation and autonomy in production processes. Such smart factories will offer a variety of production technologies as services that can be combined ad hoc to produce a large number of different product types and variants cost-effectively even in small lot sizes. This is enabled by cyber-physical systems that feature flexible automated planning methods for production scheduling, execution control, and in-factory logistics. During development, testbeds are required to determine the applicability of integrated systems in such scenarios. Furthermore, benchmarks are needed to quantify and compare system performance in these industry-inspired scenarios at a comprehensible and manageable size which is, at the same time, complex enough to yield meaningful results. In this chapter, based on our experience in the RoboCup Logistics League (RCLL) as a specific example, we derive a generic blueprint for how a holistic benchmark can be developed, which combines a specific scenario with a set of key performance indicators as metrics to evaluate the overall integrated system and its components.},
  language  = {de}
}