@inproceedings{SchwarzMarinovHensel2020,
  author    = {Raphael Schwarz and Marin B. Marinov and Stefan Hensel},
  title     = {Optical 3D Object Recognition for Automated Driving},
  series = {Artificial Intelligence : Research Impact on Key Industries. Proceedings of the Upper-Rhine Artificial Intelligence Symposium},
  editor    = {Andreas Christ and Franz Quint},
  organization    = {Hochschule Offenburg},
  isbn      = {978-3-943301-29-8 (eBook)},
  pages     = {127 -- 135},
  year      = {2020},
  abstract  = {In this contribution, we propose an system setup for the detection andclassification of objects in autonomous driving applications. The recognition algo-rithm is based upon deep neural networks, operating in the 2D image domain. Theresults are combined with data of a stereo camera system to finally incorporatethe 3D object information into our mapping framework. The detection systemis locally running upon the onboard CPU of the vehicle. Several network archi-tectures are implemented and evaluated with respect to accuracy and run-timedemands for the given camera and hardware setup.},
  language  = {en}
}