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
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.
Document type
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DOI
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Deposit date
26 Oct 2022 09:19
Last modified
26 Oct 2022 09:19
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Funding program
EC - H2020
URI
Other metadata
Document type
Dataset
Creators
Subjects
DOI
Contributors
Deposit date
26 Oct 2022 09:19
Last modified
26 Oct 2022 09:19
Related identifier
Project name
Funding program
EC - H2020
URI
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