Yue Pan

Ph.D. Student
Contact:
Email: yue.pan@nulligg.uni-bonn.de
Tel: +49 – 228 – 73 – 29 05
Fax: +49 – 228 – 73 – 27 12
Office: Nussallee 15, 1. OG, room 1.003
Address:
University of Bonn
Photogrammetry, IGG
Nussallee 15
53115 Bonn

Profiles: Google Scholar | Github | Linkedln

Short CV

Yue Pan is a PhD student at the University of Bonn since June 2022. He received his Master degree in Geomatics in 2022 from ETH Zurich. He received his Bachelor degree in Geomatics Engineering in 2019. 

Research Interests

  • SLAM
  • 3D Reconstruction
  • Navigation

Projects

  • PhenoRob – Robotics and Phenotyping for Sustainable Crop Production (DFG Cluster of Excellence)

Awards

  • Geosuisse/IGS prize 2022 for excellent master thesis and academic record in Geomatics

Publications

2024

  • Y. Pan, X. Zhong, L. Wiesmann, T. Posewsky, J. Behley, and C. Stachniss, “PIN-SLAM: LiDAR SLAM Using a Point-Based Implicit Neural Representation for Achieving Global Map Consistency,” Ieee transactions on robotics (tro), 2024. doi:10.1109/TRO.2024.3422055
    [BibTeX] [PDF] [Code]
    @article{pan2024tro,
    author = {Y. Pan and X. Zhong and L. Wiesmann and T. Posewsky and J. Behley and C. Stachniss},
    title = {{PIN-SLAM: LiDAR SLAM Using a Point-Based Implicit Neural Representation for Achieving Global Map Consistency}},
    journal = tro,
    year = {2024},
    volume = {},
    number = {},
    pages = {},
    doi = {10.1109/TRO.2024.3422055},
    codeurl = {https://github.com/PRBonn/PIN_SLAM},
    note = {Accepted}
    }
  • F. Magistri, Y. Pan, J. Bartels, J. Behley, C. Stachniss, and C. Lehnert, “Improving Robotic Fruit Harvesting Within Cluttered Environments Through 3D Shape Completion,” IEEE Robotics and Automation Letters (RA-L), 2024. doi:10.1109/LRA.2024.3421788
    [BibTeX] [PDF]
    @article{magistri2024ral,
    author = {F. Magistri and Y. Pan and J. Bartels and J. Behley and C. Stachniss and C. Lehnert},
    title = {{Improving Robotic Fruit Harvesting Within Cluttered Environments
    Through 3D Shape Completion}},
    journal = ral,
    volume = {},
    number = {},
    pages = {},
    year = 2024,
    doi = {10.1109/LRA.2024.3421788},
    }
  • L. Jin, H. Kuang, Y. Pan, C. Stachniss, and M. Popović, “STAIR: Semantic-Targeted Active Implicit Reconstruction,” in Proc. of the IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS), 2024.
    [BibTeX]
    @inproceedings{jin2024iros,
    author = {L. Jin and H. Kuang and Y. Pan and C. Stachniss and M. Popovi\'c},
    title = {{STAIR: Semantic-Targeted Active Implicit Reconstruction}},
    booktitle = iros,
    year = 2024,
    note = {Accepted}
    }
  • X. Zhong, Y. Pan, C. Stachniss, and J. Behley, “3D LiDAR Mapping in Dynamic Environments using a 4D Implicit Neural Representation,” in Proc. of the IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), 2024.
    [BibTeX] [PDF] [Code] [Video]
    @inproceedings{zhong2024cvpr,
    author = {X. Zhong and Y. Pan and C. Stachniss and J. Behley},
    title = {{3D LiDAR Mapping in Dynamic Environments using a 4D Implicit Neural Representation}},
    booktitle = cvpr,
    year = 2024,
    codeurl = {https://github.com/PRBonn/4dNDF},
    videourl ={https://youtu.be/pRNKRcTkxjs}
    }

2023

  • Y. Pan, F. Magistri, T. Läbe, E. Marks, C. Smitt, C. S. McCool, J. Behley, and C. Stachniss, “Panoptic Mapping with Fruit Completion and Pose Estimation for Horticultural Robots,” in Proc. of the IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS), 2023.
    [BibTeX] [PDF] [Code] [Video]
    @inproceedings{pan2023iros,
    author = {Y. Pan and F. Magistri and T. L\"abe and E. Marks and C. Smitt and C.S. McCool and J. Behley and C. Stachniss},
    title = {{Panoptic Mapping with Fruit Completion and Pose Estimation for Horticultural Robots}},
    booktitle = iros,
    year = 2023,
    codeurl = {https://github.com/PRBonn/HortiMapping},
    videourl = {https://youtu.be/fSyHBhskjqA}
    }
  • L. Wiesmann, T. Guadagnino, I. Vizzo, N. Zimmerman, Y. Pan, H. Kuang, J. Behley, and C. Stachniss, “LocNDF: Neural Distance Field Mapping for Robot Localization,” IEEE Robotics and Automation Letters (RA-L), vol. 8, iss. 8, p. 4999–5006, 2023. doi:10.1109/LRA.2023.3291274
    [BibTeX] [PDF] [Code] [Video]
    @article{wiesmann2023ral-icra,
    author = {L. Wiesmann and T. Guadagnino and I. Vizzo and N. Zimmerman and Y. Pan and H. Kuang and J. Behley and C. Stachniss},
    title = {{LocNDF: Neural Distance Field Mapping for Robot Localization}},
    journal = ral,
    volume = {8},
    number = {8},
    pages = {4999--5006},
    year = 2023,
    url = {https://www.ipb.uni-bonn.de/wp-content/papercite-data/pdf/wiesmann2023ral-icra.pdf},
    issn = {2377-3766},
    doi = {10.1109/LRA.2023.3291274},
    codeurl = {https://github.com/PRBonn/LocNDF},
    videourl = {https://youtu.be/-0idH21BpMI},
    }
  • X. Zhong, Y. Pan, J. Behley, and C. Stachniss, “SHINE-Mapping: Large-Scale 3D Mapping Using Sparse Hierarchical Implicit Neural Representations,” in Proc. of the IEEE Intl. Conf. on Robotics & Automation (ICRA), 2023.
    [BibTeX] [PDF] [Code] [Video]
    @inproceedings{zhong2023icra,
    author = {Zhong, Xingguang and Pan, Yue and Behley, Jens and Stachniss, Cyrill},
    title = {{SHINE-Mapping: Large-Scale 3D Mapping Using Sparse Hierarchical Implicit Neural Representations}},
    booktitle = icra,
    year = 2023,
    codeurl = {https://github.com/PRBonn/SHINE_mapping},
    videourl = {https://youtu.be/jRqIupJgQZE},
    }

2022

  • Y. Pan, Y. Kompis, L. Bartolomei, R. Mascaro, C. Stachniss, and M. Chli, “Voxfield: Non-Projective Signed Distance Fields for Online Planning and 3D Reconstruction,” in Proc. of the IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS), 2022.
    [BibTeX] [PDF] [Code] [Video]
    @inproceedings{pan2022iros,
    title = {{Voxfield: Non-Projective Signed Distance Fields for Online Planning and 3D Reconstruction}},
    author = {Y. Pan and Y. Kompis and L. Bartolomei and R. Mascaro and C. Stachniss and M. Chli},
    booktitle = iros,
    year = {2022},
    codeurl = {https://github.com/VIS4ROB-lab/voxfield},
    videourl ={https://youtu.be/JS_yeq-GR4A},
    }