Schön Markus M. Sc.

Research

  • Panoptic segmentation and depth estimation of camera images using multi-task learning
  • Project UNICARagil - Package lead for environment perception and interpretation

Publications

3.
Schön, Markus; Buchholz, Michael; Dietmayer, Klaus
MGNet: Monocular Geometric Scene Understanding for Autonomous Driving
Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), Page 15804-15815
2021
2.
Buchholz, Michael; Gies, Fabian; Danzer, Andreas; Henning, Matti; Hermann, Charlotte; Herzog, Manuel; Horn, Markus; Schön, Markus; Rexin, Nils; Dietmayer, Klaus; Fernandez, Carlos; Janosovits, Johannes; Kamran, Danial; Kinzig, Christian; Lauer, Martin; Molinos, Eduardo; Stiller, Christoph; Ackermann, Stefan; Homolla, Tobias; Winner, Hermann; Gottschalg, Grischa; Leinen, Stefan; Becker, Matthias; Feiler, Johannes; Hoffmann, Simon; Diermeyer, Frank; Lampe, Bastian; Beemelmanns, Till; Kempen, Raphael; Woopen, Timo; Eckstein, Lutz; Voget, Nicolai; Moormann, Dieter; Jatzkowski, Inga; Stolte, Torben; Maurer, Markus; Graf, Jürgen; Hinüber, Edgar; Siepenkötter, Norbert
Automation of the UNICARagil vehicles
, 29. Aachen Colloquium Sustainable MobilityVolume2, Page 1531-1560
Publisher: Aachen
2020
DOI:10.18725/OPARU-34024
File:https://oparu.uni-ulm.de/xmlui/handle/123456789/34086
1.
Pfeuffer, Andreas; Schön, Markus; Ditzel, Carsten; Dietmayer, Klaus
The ADUULM-Dataset - A Semantic Segmentation Dataset for Sensor Fusion
31th British Machine Vision Conference 2020, {BMVC} 2020, Manchester, UK, September 7-10, 2020
Publisher: {BMVA} Press
2020

Position

Research Assistant

Contact

Schön Markus M. Sc.
Room: 41.2.230
Phone: +49 (0)731 50 27038
E-Mail | Homepage

Office hours

On appointment