Automated pipeline reconstruction using deep learning & instance segmentation-Reference-Cited by-同舟云学术

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Automated pipeline reconstruction using deep learning & instance segmentation

Published:2023-08 Issue: Volume:9 Page:100043
ISSN:2667-3932
Container-title:ISPRS Open Journal of Photogrammetry and Remote Sensing
language:en
Short-container-title:ISPRS Open Journal of Photogrammetry and Remote Sensing

Author:

Hart Lukas^ORCID,Knoblach Stefan,Möser Michael

Funder

Bundesministerium für Wirtschaft und Klimaschutz

Bundesministerium für Wirtschaft und Technologie

BMWK

Publisher

Elsevier BV

Subject

General Medicine

Reference58 articles.

1. Cloi-net: class segmentation of industrial facilities’ point cloud datasets;Agapaki;Adv. Eng. Inf.,2020

2. Instance Segmentation of Industrial Point Cloud Data;Agapaki,2020

3. Using digital photogrammetry for pipe-works progress tracking;Ahmed;Can. J. Civ. Eng.,2012

4. Autonomous modeling of pipes within point clouds;Ahmed,2013

5. Automatic detection of cylindrical objects in built facilities;Ahmed;J. Comput. Civ. Eng.,2014

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Extraction of complex pipeline features from incomplete point clouds;Measurement Science and Technology;2024-09-05

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