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
Tipologia del documento
Dataset
Autori
AutoreAffiliazioneORCID
Caporali, AlessioUniversity of Bologna
Galassi, KevinUniversity of Bologna
Zanella, RiccardoUniversity of Bologna
Palli, GianlucaUniversity of Bologna
Settori scientifico-disciplinari
DOI
Contributors
Contributor
Affiliazione
Tipo
Caporali, Alessio
University of Bologna
Contact person
Data di deposito
24 Mar 2023 11:28
Ultima modifica
24 Mar 2023 11:28
Risorse collegate
Tipologia
Relazione
Identificativo
Nome del Progetto
REMODEL - Robotic tEchnologies for the Manipulation of cOmplex DeformablE Linear objects
Programma di finanziamento
EC - H2020
URI

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