Matteo Sodano

PhD Student

Contact:
Email: matteo.sodano@nulligg.uni-bonn.de
Tel: +49 – 228 – 73 – 60 190
Fax: +49 – 228 – 73 – 27 12
Office: Nussallee 15, 1. OG, room 1.009

Address:
University of Bonn
Photogrammetry, IGG
Nussallee 15
53115 Bonn

Profiles: LinkedIn, Google Scholar

Research Interests

Semantic Scene Understanding
Open-World Segmentation
Perception for Agricultural Robotics

Short CV

Matteo Sodano is a Ph.D. student at the Photogrammetry and Robotics Lab at the Rheinische Friedrich-Wilhelms-Universität Bonn since February 2021. He received his M.Sc. in Control Engineering from University “La Sapienza”, Rome. His thesis focused on legged locomotion and motion planning, and it was developed in collaboration with the Istituto Italiano di Tecnologia (IIT). Currently, his research interests are about semantic scene understanding, especially in open-world settings.

Projects

HARMONY – Enhancing Healthcare with Assistive Robotic Mobile Manipulation

Teaching

Mobile Sensing and Robotics I (Winter Semester) – 2021, 2022

Mobile Sensing and Robotics II (Summer Semester) – 2021

Master Project supervision:

LiDAR-based Panoptic Segmentation (2022)
Open-World Instance Segmentation of LiDAR Point Clouds (2023)
Grouping and Identifying Road Signs for Enhanced Geospatial Mapping (2024)

Master Project Course Organization – 2023/24, 2024/25

Lectures of the course on Basics of Control Systems – 2024/25 (coming soon)

Publications

2024

M. Sodano, F. Magistri, L. Nunes, J. Behley, and C. Stachniss, “Open-World Semantic Segmentation Including Class Similarity,” in Proc. of the IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), 2024.
[BibTeX] [PDF]
```
@inproceedings{sodano2024cvpr,
author = {M. Sodano and F. Magistri and L. Nunes and J. Behley and C. Stachniss},
title = {{Open-World Semantic Segmentation Including Class Similarity}},
booktitle = cvpr,
year = 2024,
}
```