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

Caporali, Alessio ; Galassi, Kevin ; Zanella, Riccardo ; Palli, Gianluca (2022) REMODEL. WP4. Vision-based Perception. T4_3. Cable Detection and Tracking. Fast Segmentation of Deformable Linear Objects. v0. University of Bologna. DOI 10.6092/unibo/amsacta/7036. [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 FASTDLO. The source code algorithm comprises a deep convolutional neural network employed for background segmentation, the intersections between different Deformable Linear Objects (DLOs) are solved with a similarity-based network combined to a skeletonization algorithm. FASTDLO also describes each DLO instance with a sequence of 2D coordinates. The associated publication is the following: A. Caporali, K. Galassi, R. Zanella and G. Palli, "FASTDLO: Fast Deformable Linear Objects Instance Segmentation," in IEEE Robotics and Automation Letters, vol. 7, no. 4, pp. 9075-9082, Oct. 2022, doi: 10.1109/LRA.2022.3189791.

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
26 Oct 2022 09:19
Last modified
26 Oct 2022 09:19
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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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