Matteo Sodano

According to our database, Matteo Sodano authored at least 9 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Efficient and Accurate Transformer-Based 3D Shape Completion and Reconstruction of Fruits for Agricultural Robots.

Federico Magistri, Rodrigo Marcuzzi, Elias Marks, Matteo Sodano, Jens Behley, Cyrill Stachniss

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Open-World Semantic Segmentation Including Class Similarity.

Matteo Sodano, Federico Magistri, Lucas Nunes, Jens Behley, Cyrill Stachniss

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

High Precision Leaf Instance Segmentation for Phenotyping in Point Clouds Obtained Under Real Field Conditions.

Elias Marks, Matteo Sodano, Federico Magistri, Louis Wiesmann, Dhagash Desai, Rodrigo Marcuzzi, Jens Behley, Cyrill Stachniss

IEEE Robotics Autom. Lett., 2023

PhenoBench - A Large Dataset and Benchmarks for Semantic Image Interpretation in the Agricultural Domain.

Jan Weyler, Federico Magistri, Elias Marks, Yue Linn Chong, Matteo Sodano, Gianmarco Roggiolani, Nived Chebrolu, Cyrill Stachniss, Jens Behley

CoRR, 2023

Long-Term Indoor Localization with Metric-Semantic Mapping using a Floor Plan Prior.

Nicky Zimmerman, Matteo Sodano, Elias Marks, Jens Behley, Cyrill Stachniss

CoRR, 2023

Constructing Metric-Semantic Maps Using Floor Plan Priors for Long-Term Indoor Localization.

Nicky Zimmerman, Matteo Sodano, Elias Marks, Jens Behley, Cyrill Stachniss

IROS, 2023

Robust Double-Encoder Network for RGB-D Panoptic Segmentation.

Matteo Sodano, Federico Magistri, Tiziano Guadagnino, Jens Behley, Cyrill Stachniss

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Hierarchical Approach for Joint Semantic, Plant Instance, and Leaf Instance Segmentation in the Agricultural Domain.

Gianmarco Roggiolani, Matteo Sodano, Tiziano Guadagnino, Federico Magistri, Jens Behley, Cyrill Stachniss

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

Fast Sparse LiDAR Odometry Using Self-Supervised Feature Selection on Intensity Images.

Tiziano Guadagnino, Xieyuanli Chen, Matteo Sodano, Jens Behley, Giorgio Grisetti, Cyrill Stachniss

IEEE Robotics Autom. Lett., 2022