REMODEL. WP4. Vision-based Perception. T4_3. Cable Detection and Tracking. Real Time Segmentation of Deformable Linear Objects. v0

Caporali, Alessio ; Galassi, Kevin ; Zanella, Riccardo ; Palli, Gianluca (2023) REMODEL. WP4. Vision-based Perception. T4_3. Cable Detection and Tracking. Real Time Segmentation of Deformable Linear Objects. v0. University of Bologna. DOI 10.6092/unibo/amsacta/7219. [Dataset]
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Abstract

The dataset contains the source code and model weights utilized for the experimental validation on segmentation of deformable linear objects. The developed approach is called RT-DLO. A novel method to separate the DLO instances is applied. It employs the generation of a graph representation of the scene given the semantic mask where the graph nodes are sampled from the DLOs center-lines whereas the graph edges are selected based on topological reasoning. RT-DLO also describes each DLO instance with a sequence of 2D coordinates. The associated publication is the following: A. Caporali, K. Galassi, B. L. Žagar, R. Zanella, G. Palli and A. C. Knoll, "RT-DLO: Real-Time Deformable Linear Objects Instance Segmentation," in IEEE Transactions on Industrial Informatics, doi: 10.1109/TII.2023.3245641.

Abstract
Document type
Dataset
Creators
CreatorsAffiliationORCID
Caporali, AlessioUniversity of Bologna
Galassi, KevinUniversity of Bologna
Zanella, RiccardoUniversity of Bologna
Palli, GianlucaUniversity of Bologna
Subjects
DOI
Contributors
Name
Affiliation
Type
Caporali, Alessio
University of Bologna
Contact person
Deposit date
24 Mar 2023 11:28
Last modified
24 Mar 2023 11:28
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Code
DOI
this upload is supplement to
Project name
REMODEL - Robotic tEchnologies for the Manipulation of cOmplex DeformablE Linear objects
Funding program
EC - H2020
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