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Alexander Schaefer

Albert-Ludwigs-Universität Freiburg
Technische Fakultät
Autonome Intelligente Systeme
Georges-Köhler-Allee 080
D-79110 Freiburg i. Br., Germany
Office:   01 022

alexander.schaefer@informatik.uni-freiburg.de
Phone:   +49 761 203-8176

About me

  • 07/2015 - now: Ph.D. student in the Autonomous Intelligent Systems group of Prof. Dr. Wolfram Burgard
  • 02/2013 - 06/2015: Research Manager, Fraunhofer Institute for Factory Operation and Automation, Magdeburg, Germany
  • 10/2006 - 11/2012: Dipl.-Ing. in Mechanical Engineering, Munich University of Technology (TUM), Germany

Research Interests

  • Simultaneous localization and mapping for autonomous robots
  • Trajectory planning for autonomous robots

Current Research Projects

Journal and conference Papers

  • Alexander Schaefer, Daniel Büscher, Lukas Luft, Wolfram Burgard
    A Maximum Likelihood Approach to Extract Polylines from 2-D Laser Range Scans
    Proc. of the IEEE Int. Conf. on Intelligent Robots and Systems (IROS), Madrid, Spain, 2018
    To be presented at IROS 2018 in Madrid, Spain
    Download
  • Alexander Schaefer, Lukas Luft, Wolfram Burgard
    DCT maps: Compact Differentiable Lidar Maps Based on the Cosine Transform
    IEEE Robotics and Automation Letters (RA-L), Volume 3, Issue 2, April 2018
    Presented at ICRA 2018 in Brisbane, Australia
    Download BibTeX
  • Lukas Luft, Alexander Schaefer, Tobias Schubert, Wolfram Burgard
    Detecting changes in the environment based on full posterior distributions over real-valued grid maps
    IEEE Robotics and Automation Letters (RA-L), Volume 3, Issue 2, April 2018
    Presented at ICRA 2018 in Brisbane, Australia
    Download BibTeX
  • Lukas Luft, Alexander Schaefer, Tobias Schubert, Wolfram Burgard
    Closed-Form Full Map Posteriors for Robot Localization with Lidar Sensors
    Proc. of the IEEE Int. Conf. on Intelligent Robots and Systems (IROS), Vancouver, BC, Canada, 2017
    Download BibTeX
  • Florian Kraemer, Alexander Schaefer, Andreas Eitel, Johan Vertens, Wolfram Burgard},
    From Plants to Landmarks: Time-invariant Plant Localization that uses Deep Pose Regression in Agricultural Fields
    Workshop on Agri-Food Robotics, IEEE Int. Conf. on Intelligent Robots and Systems (IROS), Vancouver, BC, Canada, 2017
    Download BibTeX
  • Nived Chebrolu, Philipp Lottes, Alexander Schaefer, Wera Winterhalter, Wolfram Burgard, Cyrill Stachniss
    Agricultural Robot Dataset for Plant Classification, Localization, and Mapping on Sugar Beet Fields
    The Internatiounal Journal of Robotics Research (IJRR), 2017
    Download BibTeX
  • Alexander Schaefer, Lukas Luft, Wolfram Burgard
    An Analytical Lidar Sensor Model Based on Ray Path Information
    IEEE Robotics and Automation Letters (RA-L), Volume 2, Issue 3, July 2017
    Download BibTeX

Teaching

  • 10/2015 - 04/2018: supervisor, lecture Robot Mapping
  • 10/2007 - 04/2011: lecturer and supervisor, lecture Object-Oriented Software Engineering, Munich University of Technology
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