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Publikationen

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  1. Mark Niemeyer; Joachim Hertzberg; Grzegorz Cielniak

    Consolidation of symbolic instances using sensor data via tracklet merging for long-term monitoring of crops

    In: Alessio Del Bue; Cristian Canton; Jordi Pont-Tuset; Tatiana Tommasi (Hrsg.). Computer Vision - ECCV 2024 Workshops. Computer Vision in Plant Phenotyping and Agriculture (CVPPA-2024), 9th Computer Vision in Plant Phenotyping and Agriculture, located at 18th European Conference on Computer Vision ECCV 2024, September 29-30, Milano, Italy, Pages 146-159, LNCS, Vol. 15625, ISBN 978-3-031-91835-3, Springer, Cham, 5/2025.

  2. Towards Auto-Generated Ground Truth for Evaluation of Perception Systems in Agriculture

    In: Alessio Del Bue; Cristian Canton; Jordi Pont-Tuset; Tatiana Tommasi (Hrsg.). Computer Vision - ECCV 2024 Workshops. Computer Vision in Plant Phenotyping and Agriculture (CVPPA-2024), 9th Computer Vision in Plant Phenotyping and Agriculture, located at 18th European Conference on Computer Vision ECCV 2024, September 29 - October 4, Milano, Italy, Pages 194-206, Lecture Notes in Computer Science (LNCS), Vol. 15625, ISBN 978-3-031-91835-3, Springer, Cham, 5/2025.

  3. Mark Niemeyer; Marian Renz; Maren Pukrop; David Hagemann; Tim Zurheide; Daniel Di Marco; Markus Höferlin; Philipp Stark; Florian Rahe; Matthias Igelbrink; Mario Jenz; Thomas Jarmer; Dieter Trautz; Stefan Stiene; Joachim Hertzberg

    Cognitive Weeding: An Approach to Single-Plant Specific Weed Regulation

    In: KI - Künstliche Intelligenz, German Journal on Artificial Intelligence - Organ des Fachbereiches "Künstliche Intelligenz" der Gesellschaft für Informatik e.V. (KI), Vol. 37, Pages 175-181, Springer, 1/2024.

  4. Streamlined Acquisition of Large Sensor Data for Autonomous Mobile Robots to Enable Efficient Creation and Analysis of Datasets

    In: 2024 IEEE International Conference on Robotics and Automation. IEEE International Conference on Robotics and Automation (ICRA-2024), May 13-17, Yokohama, Japan, Pages 15804-15810, IEEE, 2024.

  5. Jan Christoph Krause; Sebastian Röttgermann; Alexander Tauber; Jens Herbers; Stefan Menke; Mark Niemeyer; Lutz Plagge; Benedikt Thy; Hannes Hollmeier; Stefan Stiene; Joachim Hertzberg

    Field Trials and Evaluation Methods for Sensors used in Perception Systems for Autonomous Machinery with Respect to SOTIF

    In: LAND.TECHNIK AgEng 2024. International Conference on Agricultural Engineering (AgEng-2024), November 6-7, Osnabrück, VDI Verlag, 2024.

  6. Towards model-based automation of plant-specific weed regulation

    In: Referate der 43. GIL-Jahrestagung. Jahrestagung der Gesellschaft für Informatik in der Land-, Forst- und Ernährungswirtschaft (GIL-2023), Resiliente Agri-Food-Systeme, February 13-14, Osnabrück, Germany, Pages 207-218, Vol. P-330, ISBN 978-3-88579-724-1, Köllen Druck+Verlag GmbH, Bonn, 2/2023.

  7. Scalable Evaluation Pipeline of CNN-based perception for Robotic Sensor Data under different Environment Conditions

    In: 2023 European Conference on Mobile Robots. European Conference on Mobile Robots (ECMR-2023), September 4-7, Coimbra, Portugal, IEEE, 2023.

  8. Object Anchoring for Autonomous Robots using the Spatio-Temporal-Semantic Environment Representation SEEREP

    In: KI 2023. German Conference on Artificial Intelligence (KI-2023), 46th, September 27-29, Berlin, Germany, Springer, 2023.

  9. Jan Christoph Krause; Naeem Iqbal; Mark Niemeyer; Benedikt Thy; Lutz Plagge; Hannes Hollmeier; Arno Ruckelshausen; Sebastian Röttgermann; Alexander Tauber; Jens Herbers; Stefan Menke; Joachim Hertzberg

    AI-TEST-FIELD – A Test Environment for the Automated Evaluation of Methods for Robust and Reliable Environment Perception

    In: LAND.TECHNIK AgEng 2023. International Conference Agricultural Engineering (LAND.TECHNIK-2023), 80th International Conference on Agricultural Engineering, November 10-11, Hannover, Germany, Pages 547-554, Vol. 2427, VDI Verlag, Düsseldorf, 2023.

  10. A Spatio-Temporal-Semantic Environment Representation for Autonomous Mobile Robots equipped with various Sensor Systems

    In: 2022 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems. IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI-2022), September 20-22, Cranfield, United Kingdom, IEEE, 9/2022.