@inproceedings{RedeniusDingwerthRuckelshausenetal.2017,
  author    = {Jannik Redenius and Matthias Dingwerth and Arno Ruckelshausen and Joachim Hertzberg and Thilo Krause and Boris Kettelhoit},
  title     = {A multilevel simulation framework for highly automated harvest processes enabled by environmental sensor systems},
  series = {VDI-Berichte},
  volume    = {2300},
  publisher = {VDI Verlag GmbH},
  address   = {D{\"u}sseldorf},
  isbn      = {978-3-18-092300-0},
  issn      = {0083-5560},
  url       = {https://nbn-resolving.org/urn:nbn:de:bsz:959-opus-15841},
  pages     = {157 -- 163},
  year      = {2017},
  abstract  = {This article proposes the concept of a simulation framework for environmental sensors with multilevel abstraction in agricultural scenarios. The implementation case study is a simulation of a grain-harvesting scenario enabled by LiDAR sensors. Environmental sensor models as well as kinematics and dynamic behavior of machines are based on the robotics simulator Gazebo. Models for powertrain, machine process aggregates and peripheral simulation components are implemented with the help of MATLAB/ Simulink and with the robotics middleware Robot Operating System (ROS). This article deals with the general concept of a multilevel simulation framework and in particular with sensor and environmental modeling.},
  language  = {en}
}