Luca Lobefaro
PhD Student Contact:Email: llobefar@nulluni-bonn.de
Tel: +49 – 228 – 73 – 29 08
Fax: +49 – 228 – 73 – 27 12
Office: Nussallee 15, 1. OG, room 0.012
Address:
University of Bonn
Photogrammetry, IGG
Nussallee 15
53115 Bonn
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Profiles: Google Scholar | LinkedIn | Github
Research Interests
- Visual SLAM
- Autonomous and Mobile Robotics
- Computer Vision
Short CV
Luca Lobefaro is a Ph.D. student in Photogrammetry and Robotics at the University of Bonn. He received a Bachelor’s degree in Computer Science from “Aldo Moro” University of Bari, Italy, in 2019 with a thesis on “Speaker Recognition” and a Master’s degree in Artificial Intelligence and Robotics from “La Sapienza” University of Rome, Italy, in 2022 with a thesis on Monocular Visual-SLAM. He collaborates to the AID4Crop project for 4D mapping of growing plants. His main research interest is RGB-D Visual-SLAM for Mobile Robotics.
Teaching
- 3D Coordinate Systems – since Semester 2023/2024
Publications
2025
- M. V. R. Malladi, N. Chebrolu, I. Scacchetti, L. Lobefaro, T. Guadagnino, B. Casseau, H. Oh, L. Freissmuth, M. Karppinen, J. Schweier, S. Leutenegger, J. Behley, C. Stachniss, and M. Fallon, “DigiForests: A Longitudinal LiDAR Dataset for Forestry Robotics,” in Proc. of the IEEE Intl. Conf. on Robotics & Automation (ICRA), 2025.
[BibTeX]@inproceedings{malladi2025icra, author = {M.V.R. Malladi and N. Chebrolu and I. Scacchetti and L. Lobefaro and T. Guadagnino and B. Casseau and H. Oh and L. Freissmuth and M. Karppinen and J. Schweier and S. Leutenegger and J. Behley and C. Stachniss and M. Fallon}, title = {{DigiForests: A Longitudinal LiDAR Dataset for Forestry Robotics}}, booktitle = icra, year = {2025}, note = {Accepted}, }
- T. Guadagnino, B. Mersch, I. Vizzo, S. Gupta, M. V. R. Malladi, L. Lobefaro, G. Doisy, and C. Stachniss, “Kinematic-ICP: Enhancing LiDAR Odometry with Kinematic Constraints for Wheeled Mobile Robots Moving on Planar Surfaces,” in Proc. of the IEEE Intl. Conf. on Robotics & Automation (ICRA), 2025.
[BibTeX] [PDF] [Code]@inproceedings{guadagnino2025icra, author = {Guadagnino, T. and Mersch, B. and Vizzo, I. and Gupta, S. and Malladi, M.V.R. and Lobefaro, L. and Doisy, G. and Stachniss, C.}, title = {{Kinematic-ICP: Enhancing LiDAR Odometry with Kinematic Constraints for Wheeled Mobile Robots Moving on Planar Surfaces}}, booktitle = icra, year = {2025}, url = {https://arxiv.org/pdf/2410.10277}, codeurl = {https://github.com/PRBonn/kinematic-icp}, }
2024
- T. Guadagnino, B. Mersch, I. Vizzo, S. Gupta, M. V. R. Malladi, L. Lobefaro, G. Doisy, and C. Stachniss, “Kinematic-ICP: Enhancing LiDAR Odometry with Kinematic Constraints for Wheeled Mobile Robots Moving on Planar Surfaces,” arXiv Preprint, vol. arXiv:2410.10277, 2024.
[BibTeX] [PDF] [Code]@article{guadagnino2024arxiv, author = {Guadagnino, T. and Mersch, B. and Vizzo, I. and Gupta, S. and Malladi, M.V.R. and Lobefaro, L. and Doisy, G. and Stachniss, C.}, title = {{Kinematic-ICP: Enhancing LiDAR Odometry with Kinematic Constraints for Wheeled Mobile Robots Moving on Planar Surfaces}}, journal = arxiv, year = {2024}, volume = {arXiv:2410.10277}, url = {https://arxiv.org/pdf/2410.10277}, codeurl = {https://github.com/PRBonn/kinematic-icp}, }
- L. Lobefaro, M. V. R. Malladi, T. Guadagnino, and C. Stachniss, “Spatio-Temporal Consistent Mapping of Growing Plants for Agricultural Robots in the Wild,” in Proc. of the IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS), 2024. doi:10.1109/IROS58592.2024.10802321
[BibTeX] [PDF] [Code] [Video]@inproceedings{lobefaro2024iros, author = {L. Lobefaro and M.V.R. Malladi and T. Guadagnino and C. Stachniss}, title = {{Spatio-Temporal Consistent Mapping of Growing Plants for Agricultural Robots in the Wild}}, booktitle = iros, year = 2024, codeurl = {https://github.com/PRBonn/spatio-temporal-mapping.git}, videourl = {https://youtu.be/bnWZWd5DHTg}, doi = {10.1109/IROS58592.2024.10802321}, }
- M. V. R. Malladi, T. Guadagnino, L. Lobefaro, M. Mattamala, H. Griess, J. Schweier, N. Chebrolu, M. Fallon, J. Behley, and C. Stachniss, “Tree Instance Segmentation and Traits Estimation for Forestry Environments Exploiting LiDAR Data ,” in Proc. of the IEEE Intl. Conf. on Robotics & Automation (ICRA), 2024. doi:10.1109/ICRA57147.2024.10611169
[BibTeX] [PDF] [Code] [Video]@inproceedings{malladi2024icra, author = {M.V.R. Malladi and T. Guadagnino and L. Lobefaro and M. Mattamala and H. Griess and J. Schweier and N. Chebrolu and M. Fallon and J. Behley and C. Stachniss}, title = {{Tree Instance Segmentation and Traits Estimation for Forestry Environments Exploiting LiDAR Data }}, booktitle = icra, year = 2024, doi = {10.1109/ICRA57147.2024.10611169}, videourl = {https://youtu.be/14uuCxmfGco}, codeurl = {https://github.com/PRBonn/forest_inventory_pipeline}, }
2023
- L. Lobefaro, M. V. R. Malladi, O. Vysotska, T. Guadagnino, and C. Stachniss, “Estimating 4D Data Associations Towards Spatial-Temporal Mapping of Growing Plants for Agricultural Robots,” in Proc. of the IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS), 2023.
[BibTeX] [PDF] [Code] [Video]@inproceedings{lobefaro2023iros, author = {L. Lobefaro and M.V.R. Malladi and O. Vysotska and T. Guadagnino and C. Stachniss}, title = {{Estimating 4D Data Associations Towards Spatial-Temporal Mapping of Growing Plants for Agricultural Robots}}, booktitle = iros, year = 2023, codeurl = {https://github.com/PRBonn/plants_temporal_matcher}, videourl = {https://youtu.be/HpJPIzmXoag} }