Stefan Laible

Dr. Stefan Laible


  • Abitur at the Graf-Zeppelin-Gymnasium, Friedrichshafen
  • Studies of Computer Science at the University of Tuebingen
  • Diploma thesis: Klassifikation von Pflanzen anhand 3D-Laserscanner-Daten mittels maschineller Lernverfahren
  • December 2009 - November 2010: MINT scholarship of the state of Baden-Württemberg
    in co-operation with the Robert Bosch GmbH
  • 2009 - 2014: Research assistant at the Department of Cognitive Systems,
    University of Tuebingen
  • Since 2015: Research engineer at the Bosch research center in Renningen


Research Interests

  • Terrain Classification
  • Computer Vision
  • Autonomous Navigation


Current Project


PhD Thesis


[1] Stefan Laible and Andreas Zell. Building local terrain maps using spatio-temporal classification for semantic robot localization. In Intelligent Robots and Systems (IROS 2014), 2014 IEEE/RSJ International Conference on, pages 4591-4597, Chicago, IL, September 2014. IEEE, IEEE. [ DOI | details | pdf ]
[2] Stefan Laible, Yasir Niaz Khan, and Andreas Zell. Terrain classification with conditional random fields on fused 3d lidar and camera data. In European Conference on Mobile Robots (ECMR 2013), pages 172-177, Barcelona, Catalonia, Spain, September 2013. IEEE. [ DOI | details | pdf ]
[3] Stefan Laible, Yasir Niaz Khan, Karsten Bohlmann, and Andreas Zell. 3d lidar- and camera-based terrain classification under different lighting conditions. In Autonomous Mobile Systems 2012, Informatik aktuell, pages 21-29. Springer Berlin Heidelberg, 2012. [ DOI | details | link | pdf ]
[4] Ulrich Weiss, Peter Biber, Stefan Laible, Karsten Bohlmann, and Andreas Zell. Plant species classification using a 3d lidar sensor and machine learning. In Machine Learning and Applications (ICMLA), 2010 Ninth International Conference on, pages 339-345, Washington, D.C., USA, dec. 2010. IEEE Computer Society, IEEE. [ DOI | details | pdf ]
Profile at Google Scholar





Robot Competitions



  • Feldroboter im Einsatz (Bayer CropScience, 24.06.2010)



  laible at