Philippe Komma

Background

  • 10/1999 - 06/2006: Studies of Computer Science (Bioinformatics) at the University of Tübingen

  • 07/2005 - 12/2005: Diploma thesis at the Telecommunications Software and Multimedia Laboratory, Helsinki University of Technology

  • Since 10/2006: Research assistant at the Department of Computer Architecture, University of Tübingen


Research Interests

  • Bayesian Techniques for Terrain Classification

  • Simplification of Support Vector Machines


Current Projects

  • Vibration-based Terrain Classification


Publications

[1] Sebastian A. Scherer, Daniel Dube, Philippe Komma, Andreas Masselli, and Andreas Zell. Robust Real-Time Number Sign Detection on a Mobile Outdoor Robot. In Proceedings of the 6th European Conference on Mobile Robots (ECMR 2011), Örebro, Sweden, September 2011. [ details | pdf ]
[2] Yasir Niaz Khan, Philippe Komma, Karsten Bohlmann, and Andreas Zell. Grid-based visual terrain classification for outdoor robots using local features. In IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems (CIVTS 2011), pages 16 - 22, Paris, France, apr 2011. [ DOI | pdf ]
[3] Yasir Niaz Khan, Philippe Komma, and Andreas Zell. High resolution visual terrain classification for outdoor robots. In Computer Vision Workshops (ICCV Workshops), 2011 IEEE International Conference on, pages 1014 -1021, Barcelona, Spain, nov 2011. [ DOI | pdf ]
[4] Philippe Komma and Andreas Zell. Markov random field-based clustering of vibration data. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2010), pages 1902-1908, Taipei, Taiwan, October 2010. Best Paper Award Nominee. [ pdf ]
[5] Philippe Komma and Andreas Zell. Clustering vibration data using a temporally coherent Expectation Maximization approach. In 7th Symposium on Intelligent Autonomous Vehicles (IAV 2010), pages 1-6, Lecce, Italy, September 2010.
[6] Philippe Komma and Andreas Zell. Posterior probability estimation techniques embedded in a bayes filter for vibration-based terrain classification. Springer Tracts in Advanced Robotics, 62:79-89, 2010.
[7] Philippe Komma and Andreas Zell. Posterior probability estimation techniques embedded in a Bayes filter for vibration-based terrain classification. In 7th International Conference on Field and Service Robots (FSR 2009), pages 1-10, MIT, Cambridge, Massachusetts, USA, July 2009. [ pdf ]
[8] Philippe Komma, Christian Weiss, and Andreas Zell. Adaptive Bayesian filtering for vibration-based terrain classification. In IEEE/RSJ International Conference on Robotics and Automation (ICRA 2009), pages 3307-3313, Kobe, Japan, May 2009. [ pdf ]
[9] Philippe Komma and Andreas Zell. Towards real-time and memory efficient predictions of valve states in diesel engines. In IEEE Workshop on Computational Intelligence in Vehicles and Vehicular Systems (CIVVS 2009), pages 8-15, Nashville, TN, USA, April 2009. [ pdf ]
[10] Philippe Komma, Christian Weiss, and Andreas Zell. Improved vibration based terrain classification using temporal coherence. In 40th International Symposium on Robotics (ISR), pages 359-364, Barcelona, Spain, March 2009.
[11] John Shutty, Wolfgang Wenzel, and Philippe Komma. Control strategy optimization for hybrid EGR engines. In 9. Internationales Stuttgarter Symposium 2009 - Automobil- und Motorentechnik, Stuttgart, Germany, March 2009.
[12] Philippe Komma, Jan Fischer, Frank Duffner, and Dirk Bartz. Lossless volume data compression schemes. In Simulation and Visualization 2007 (SimVis 2007), pages 169-182, Magdeburg, Germany, March 2007. [ pdf ]

Teaching


Address, Phone, E-Mail

Eberhard-Karls-Universität Tübingen
Wilhelm-Schickard-Institut für Informatik
Lehrstuhl Kognitive Systeme
Sand 1
D - 72076 Tübingen 
Germany

Tel: (+49/0) 7071 / 29 78970
Email: philippe.komma@uni-tuebingen.de