Excavator 3D pose estimation using deep learning and hybrid datasets

journal contribution

posted on 2024-06-04, 12:53 authored by A Assadzadeh, M Arashpour, H Li, R Hosseini, F Elghaish, S Baduge

Excavator 3D pose estimation using deep learning and hybrid datasets

History

Journal

Advanced Engineering Informatics

Volume

55

Article number

101875

Pagination

1-13

Location

Amsterdam, The Netherlands

ISSN

1474-0346

eISSN

1873-5320

Language

English

Author URL

https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000925228600001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a045e4b2bb1f2b747c68c720ec8913b7

Publication classification

C1 Refereed article in a scholarly journal

Publisher

Elsevier

Publication URL

http://dx.doi.org/10.1016/j.aei.2023.101875

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Keywords

Computer Science Computer Science, Artificial Intelligence Computer vision CONSTRUCTION Construction machinery Deep convilutional neural networks Engineering Engineering, Multidisciplinary GENERATION Machine learning Pose estimation RECOGNITION Safety and productivity analysis Science & Technology SYSTEM Technology TRACKING School of Architecture and Built Environment Faculty of Science Engineering and Built Environment

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All Rights Reserved

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