Yunshuang Yuan

Publikationen

Begutachtete Zeitschriftenartikel und Buchkapitel

  • Yuan, Y., Cheng, H., Yang, M. Y., & Sester, M. (2023): Generating Evidential BEV Maps in Continuous Driving SpaceISPRS Journal of Photogrammetry and Remote Sensing, Volume 204, Pages 27-41
    DOI: https://doi.org/10.1016/j.isprsjprs.2023.08.013
    ISSN: ISSN 0924-2716
  • Yuan, Y., Cheng, H. & Sester, M. (2022): Keypoints-Based Deep Feature Fusion for Cooperative Vehicle Detection of Autonomous DrivingIEEE Robotics and Automation Letters. 7, 2, S. 3054 - 3061 8 S.

Begutachtete Konferenzbeiträge

  • Yuan, Y., Xia, Y., Cremers, D., & Sester, M. (2025): SparseAlign: A Fully Sparse Framework for Cooperative Object DetectionProceedings of the Computer Vision and Pattern Recognition Conference (pp. 22296-22305).
  • Yuan, Yunshuang; Sester, Monika (2025): Leveraging LLMs and attention-mechanism for automatic annotation of historical mapsAGILE: GIScience Series, 2025, 6. Jg., S. 52.
    DOI: 10.5194/agile-giss-6-52-2025
  • Yunshuang Yuan, Monika Sester (2024): CoSense3D: an Agent-based Efficient Learning Framework for Collective PerceptionIEEE Intelligent Vehicles Symposium (IV)
    DOI: 10.1109/IV55156.2024.10588865

Konferenzbeiträge

  • Yuan, Y. and Sester, M. (2021): COMAP: A SYNTHETIC DATASET FOR COLLECTIVE MULTI-AGENT PERCEPTION OF AUTONOMOUS DRIVINGThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
    DOI: 10.5194/isprs-archives-XLIII-B2-2021-255-2021
    arXiv: 255--263

Monographien

  • Yunshuang Yuan (2025): Collective Perception: A Fully-Sparse Deep Learning Framework for Multi-Agent Data FusionDeutsche Geodätische Kommission bei der Bayerischen Akademie der Wissenschaften, Reihe C, Nr. 957, (identisch mit / identical with: Wissenschaftliche Arbeiten der Fachrichtung Geodäsie und Geoinformatik der Leibniz Universität Hannover, Nr. 409, Hannover 2025) Weitere Informationen
    ISBN: 978-3-7696-5369-4
    ISSN: 0174-1454

Diskussionspapier

  • Yuan, Y., Cheng, H., & Sester, M. (2021): Keypoints-Based Deep Feature Fusion for Cooperative Vehicle Detection of Autonomous Driving
    arXiv: 2109.11615.