Sabine Hofmann

Forschte als wissenschaftliche Mitarbeiterin an Qualitätsanforderungen und Möglichkeiten von Karten für autonome Fahrzeuge.

PUBLIKATIONEN

Begutachtete Zeitschriftenartikel und Buchkapitel

  • J. Wodniok, S. Hofmann, C. Brenner and T. Luhmann (2013): Automatische Bestimmung der Kameraorientierung eines LiDAR Mobile Mapping SystemsAllgemeine Vermessungs-Nachrichten, vol. 120 (11-12), pp. 375 - 380

Begutachtete Konferenzbeiträge

  • Kondermann, Daniel and Nair, Rahul and Honauer, Katrin and Krispin, Karsten and Andrulis, Jonas and Brock, Alexander and Gussefeld, Burkhard and Rahimimoghaddam, Mohsen and Hofmann, Sabine and Brenner, Claus and Jahne, Bernd (2016): The HCI Benchmark Suite: Stereo and Flow Ground Truth With Uncertainties for Urban Autonomous DrivingThe IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops
  • D. Kondermann, R. Nair, S. Meister, W. Mischler, B. Guessefeld, K. Honauer, S. Hofmann, C. Brenner and B. Jaehne (2014): Stereo Ground Truth With Error BarsComputer Vision -- ACCV 2014, Springer LNCS
  • S. Hofmann, D. Eggert and C. Brenner (2014): Skyline matching based camera orientation from images and mobile mapping point cloudsISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. II-5, pp. 181-188 | File |
    DOI: 10.5194/isprsannals-II-5-181-2014
  • S. Hofmann, C. Kuntzsch, M. J. Schulze, D. Eggert and M. Sester (2012): Accuracy Analysis of a Low-Cost Platform for Positioning and Navigation>ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. I-2, pp. 1-6
    DOI: 10.5194/isprsannals-I-2-1-2012
  • S. Hofmann, D. Eggert, C. Kuntzsch and M. Sester (2012): Low-Cost Platform for Landmark-Based Positioning and NavigationProceedings of the 3rd International Conference on Machine Control & Guidance, pp. 259-268 | File |
  • S. Hofmann, M. J. Schulze, M. Sester and C. Brenner (2011): Quality assessment of landmark based positioning using stereo camerasInternational Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. XXXVIII (Part 3/W22), pp. 85-90 | File |
  • C. Brenner and S. Hofmann (2010): Evaluation of Automatically Extracted Landmarks for Future Driver Assistance SystemsProceedings of the Joint International Conference on Theory, Data Handling and Modelling in GeoSpatial Information Science, vol. 38 (2), pp. 361-366 | File |
  • S. Hofmann and C. Brenner (2009): Quality Assessment of Automatically Generated Feature Maps for Future Driver Assistance SystemsProceedings of the 17th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems (ACM-GIS'09), pp. 500-503 | File |

Konferenzbeiträge

  • Hofmann, S. and Brenner, C. (2016): ACCURACY ASSESSMENT OF MOBILE MAPPING POINT CLOUDS USING THE EXISTING ENVIRONMENT AS TERRESTRIAL REFERENCEISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. XLI-B1, pp. 601-608
    DOI: 10.5194/isprs-archives-XLI-B1-601-2016
  • J. Wodniok, S. Hofmann, C. Brenner and T. Luhmann (2013): Automatische Bestimmung der Kameraorientierung eines LiDAR Mobile Mapping SystemsBeiträge der Oldenburger 3D-Tage 2013, Photogrammetrie Laserscanning Optische 3D Messtechnik, pp. 178-185 | File |
  • S. Hofmann and C. Brenner (2010): Untersuchung automatisch generierter Merkmalskarten für FahrerassistenzsystemePhotogrammetrie Laserscanning Optische 3D-Messtechnik - Beiträge der Oldenburger 3D-Tage 2010, pp. 202-209 | File |

Monographien

  • S. Hofmann (2017): Potential von LiDAR Mobile Mapping für hochgenaue KartenDGK, Reihe C, Nr. 801, München 2017, ISBN 978 3 7696 5213 0, 150 S. More Info