Alexander Schaefer - Autonomous Intelligent Systems (original) (raw)
Info Albert-Ludwigs-Universität FreiburgTechnische FakultätAutonome 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 - 03/2020: Ph.D. student in the Autonomous Intelligent Systems group of Prof. Dr. Wolfram Burgard09/2018 - 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 Projects Samsung Global Research Outreach Program focusing on camera-based and lidar-based localization of cars EU project Flourish featuring the Deepfield Robotics BoniRob Publications Alexander Schaefer Highly Accurate Lidar-Based Mapping and Localization for Mobile RobotsPh.D. thesis, University of Freiburg, Department of Computer Science, 2019DownloadBibTeX Alexander Schaefer, Daniel Büscher, Johan Vertens, Lukas Luft, Wolfram Burgard Long-Term Urban Vehicle Localization Using Pole Landmarks Extracted from 3-D Lidar ScansEuropean Conference on Mobile Robotics (ECMR), Prague, Czech Republic, 2019DownloadBibTeX Lukas Luft, Federico Boniardi, Alexander Schaefer, Daniel Büscher, Wolfram Burgard On the Bayes Filter for Shared AutonomyIEEE/RSJ Robotics and Automation Letters (RA-L), November 2019 Presented at IROS 2019 in Macao, China DownloadBibTeX Alexander Schaefer, Johan Vertens, Daniel Büscher, Wolfram Burgard A Maximum Likelihood Approach to Extract Finite Planes from 3-D Laser ScansProc. of the IEEE Int. Conf. on Robotics and Automation (ICRA), Montreal, Canada, 2019DownloadBibTeX Alexander Schaefer, Daniel Büscher, Lukas Luft, Wolfram Burgard A Maximum Likelihood Approach to Extract Polylines from 2-D Laser Range ScansProc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), Madrid, Spain, 2018DownloadBibTeX Stefan Glaser, Alexander Schaefer, Wolfram Burgard Mapping and Localization using Multispectral Imaging of the SoilWorkshop on Unconventional Sensing and Processing for Robotic Visual Perception, IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), Madrid, Spain, 2018DownloadBibTeX Alexander Schaefer, Lukas Luft, Wolfram Burgard DCT maps: Compact Differentiable Lidar Maps Based on the Cosine TransformIEEE Robotics and Automation Letters (RA-L), Volume 3, Issue 2, April 2018 Presented at ICRA 2018 in Brisbane, Australia DownloadBibTeX Lukas Luft, Alexander Schaefer, Tobias Schubert, Wolfram Burgard Detecting changes in the environment based on full posterior distributions over real-valued grid mapsIEEE Robotics and Automation Letters (RA-L), Volume 3, Issue 2, April 2018 Presented at ICRA 2018 in Brisbane, Australia DownloadBibTeX Lukas Luft, Alexander Schaefer, Tobias Schubert, Wolfram Burgard Closed-Form Full Map Posteriors for Robot Localization with Lidar SensorsProc. of the IEEE Int. Conf. on Intelligent Robots and Systems (IROS), Vancouver, BC, Canada, 2017DownloadBibTeX 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 FieldsWorkshop on Agri-Food Robotics, IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), Vancouver, BC, Canada, 2017DownloadBibTeX Nived Chebrolu, Philipp Lottes, Alexander Schaefer, Wera Winterhalter, Wolfram Burgard, Cyrill Stachniss Agricultural Robot Dataset for Plant Classification, Localization, and Mapping on Sugar Beet FieldsThe Internatiounal Journal of Robotics Research (IJRR), 2017DownloadBibTeX Alexander Schaefer, Lukas Luft, Wolfram Burgard An Analytical Lidar Sensor Model Based on Ray Path InformationIEEE Robotics and Automation Letters (RA-L), Volume 2, Issue 3, July 2017DownloadBibTeX Supervised Theses Maximilian Roth Autonomous Vehicle Localisation Using LIDAR and OpenStreetMaps 3D Facades Stefan Glaser Mapping and Localization using Multispectral Images of the Soil in Tilled Agricultural Environments 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 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
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 - 03/2020: Ph.D. student in the Autonomous Intelligent Systems group of Prof. Dr. Wolfram Burgard09/2018 - 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 Projects Samsung Global Research Outreach Program focusing on camera-based and lidar-based localization of cars EU project Flourish featuring the Deepfield Robotics BoniRob Publications Alexander Schaefer Highly Accurate Lidar-Based Mapping and Localization for Mobile Robots Ph.D. thesis, University of Freiburg, Department of Computer Science, 2019 Download BibTeX 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/RSJ 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/RSJ 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/RSJ 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/RSJ 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 Theses Maximilian Roth Autonomous Vehicle Localisation Using LIDAR and OpenStreetMaps 3D Facades Stefan Glaser Mapping and Localization using Multispectral Images of the Soil in Tilled Agricultural Environments 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 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