Haofei Kuang

PhD Student
Contact:
Email: haofei.kuang@nulligg.uni-bonn.de
Tel: +49 – 228 – 73 – 27 13
Office: Nussallee 15, 1. OG, room 1.001
Address:
University of Bonn
Photogrammetry, IGG
Nussallee 15
53115 Bonn

Profiles: Google Scholar | Github

Short CV

Haofei Kuang is a PhD student at the University of Bonn since August 2021. He received his Master degree in Computer Science in 2021 and his Bachelor degree in Computer Science and Technology in 2017.

Research Interests

  • Mapping and Localization, Self-supervised Learning

Projects

  • HARMONY – Enhancing Healthcare with Assistive Robotic Mobile Manipulation

Publications

2025

  • H. Kuang, Y. Pan, X. Zhong, L. Wiesmann, J. Behley, and C. Stachniss, “Improving Indoor Localization Accuracy by Using an Efficient Implicit Neural Map Representation,” in Proc. of the IEEE Intl. Conf. on Robotics & Automation (ICRA), 2025.
    [BibTeX] [PDF] [Code] 
    @inproceedings{kuang2025icra,
author = {H. Kuang and Y. Pan and X. Zhong and L. Wiesmann and J. Behley and Stachniss, C.},
title = {{Improving Indoor Localization Accuracy by Using an Efficient Implicit Neural Map Representation}},
booktitle = icra,
year = {2025},
codeurl = {https://github.com/PRBonn/enm-mcl}
}
  • Y. Wu, J. Kuang, X. Niu, C. Stachniss, L. Klingbeil, and H. Kuhlmann, “Wheel-GINS: A GNSS/INS Integrated Navigation System with a Wheel-mounted IMU,” IEEE Trans. on Intelligent Transportation Systems Magazine, 2025. doi:10.1109/TITS.2025.3527815
    [BibTeX] [PDF] 
    @article{wu2025tits,
author = {Y. Wu and J. Kuang and X. Niu and C. Stachniss and L. Klingbeil and H. Kuhlmann},
title = {{Wheel-GINS: A GNSS/INS Integrated Navigation System with a Wheel-mounted IMU}},
journal = {IEEE Trans. on Intelligent Transportation Systems Magazine},
year = 2025,
volume = {},
doi = {10.1109/TITS.2025.3527815}
}

2024

  • 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. doi:10.1109/IROS58592.2024.10801401
    [BibTeX] [PDF] [Code] 
    @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,
codeurl = {https://github.com/dmar-bonn/stair},
doi = {10.1109/IROS58592.2024.10801401}
}

2023

  • 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}
}
  • H. Kuang, X. Chen, T. Guadagnino, N. Zimmerman, J. Behley, and C. Stachniss, “IR-MCL: Implicit Representation-Based Online Global Localization,” IEEE Robotics and Automation Letters (RA-L), vol. 8, iss. 3, p. 1627–1634, 2023. doi:10.1109/LRA.2023.3239318
    [BibTeX] [PDF] [Code] 
    @article{kuang2023ral,
author = {Kuang, Haofei and Chen, Xieyuanli and Guadagnino, Tiziano and Zimmerman, Nicky and Behley, Jens and Stachniss, Cyrill},
title = {{IR-MCL: Implicit Representation-Based Online Global Localization}},
journal = ral,
volume = {8},
number = {3},
pages = {1627--1634},
doi = {10.1109/LRA.2023.3239318},
year = {2023},
codeurl = {https://github.com/PRBonn/ir-mcl}
}
  • Y. Wu, J. Kuang, X. Niu, J. Behley, L. Klingbeil, and H. Kuhlmann, “Wheel-SLAM: Simultaneous Localization and Terrain Mapping Using One Wheel-mounted IMU,” IEEE Robotics and Automation Letters (RA-L), vol. 8, iss. 1, p. 280–287, 2023. doi:10.1109/LRA.2022.3226071
    [BibTeX] [PDF] [Code] 
    @article{wu2023ral,
author = {Y. Wu and J. Kuang and X. Niu and J. Behley and L. Klingbeil and H. Kuhlmann},
title = {{Wheel-SLAM: Simultaneous Localization and Terrain Mapping Using One Wheel-mounted IMU}},
journal = ral,
volume = {8},
number = {1},
pages = {280--287},
year = 2023,
doi = {10.1109/LRA.2022.3226071},
codeurl = {https://github.com/i2Nav-WHU/Wheel-SLAM}
}

2021

  • H. Kuang, Y. Zhu, Z. Zhang, X. Li, J. Tighe, S. Schwertfeger, C. Stachniss, and M. Li, “Video Contrastive Learning With Global Context,” in Proc. of the Intl. Conf. on Computer Vision Workshops, 2021, pp. 3195-3204.
    [BibTeX] [PDF] [Code] 
    @inproceedings{kuang2021iccvws,
author = {Kuang, Haofei and Zhu, Yi and Zhang, Zhi and Li, Xinyu and Tighe, Joseph and Schwertfeger, S\"oren and Stachniss, Cyrill and Li, Mu},
title = {{Video Contrastive Learning With Global Context}},
booktitle = iccvws,
year = {2021},
pages = {3195-3204},
codeurl = {https://github.com/amazon-research/video-contrastive-learning},
url = {https://openaccess.thecvf.com/content/ICCV2021W/CVEU/papers/Kuang_Video_Contrastive_Learning_With_Global_Context_ICCVW_2021_paper.pdf}
}