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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
  • 09/2018 - 12/2018: Research Intern, Nvidia AI Robotics Research Lab, Seattle, WA, USA
  • 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

  • Probabilistic robot mapping and localization
  • Machine learning for robot mapping and localization

Research Projects

Journal and conference Papers

  • Alexander Schaefer, Daniel Büscher, Johan Vertens, Lukas Luft, Wolfram Burgard
    Long-Term Urban Vehicle Localization Using Pole Landmarks Extracted from 3-D Lidar Scans
    European Conference on Mobile Robotics (ECMR), Prague, Czech Republic, 2019
    Download BibTeX
  • Lukas Luft, Federico Boniardi, Alexander Schaefer, Daniel Büscher, Wolfram Burgard
    On the Bayes Filter for Shared Autonomy
    IEEE Robotics and Automation Letters (RA-L), November 2019
    Presented at IROS 2019 in Macao, China
    Download BibTeX
  • Alexander Schaefer, Johan Vertens, Daniel Büscher, Wolfram Burgard
    A Maximum Likelihood Approach to Extract Finite Planes from 3-D Laser Scans
    Proc. of the IEEE Int. Conf. on Robotics and Automation (ICRA), Montreal, Canada, 2019
    Download BibTeX
  • 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
    Download BibTeX
  • Stefan Glaser, Alexander Schaefer, Wolfram Burgard
    Mapping and Localization using Multispectral Imaging of the Soil
    Workshop on Unconventional Sensing and Processing for Robotic Visual Perception, IEEE Int. Conf. on Intelligent Robots and Systems (IROS), Madrid, Spain, 2018
    Download BibTeX
  • 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

Supervised Master's Theses

  • Florian Kraemer
    From Plants to Landmarks: Deep Time-invariant Plant Localization in Agricultural Fields
  • Janosch Dobler
    Symmetry-Based Object Detection and Segmentation in Point Clouds Acquired in Crop Fields
  • Stefan Glaser
    Mapping and Localization using Multispectral Images of the Soil in Tilled Agricultural Environments

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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