Deep Learning-Based Crowdsourced Image Localization in Digital Twin Models for Enhanced Infrastructure Management-Reference-Cited by-同舟云学术

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Deep Learning-Based Crowdsourced Image Localization in Digital Twin Models for Enhanced Infrastructure Management

Published:2024-01-25 Issue: Volume:18 Page:562-570
ISSN:
Container-title:Computing in Civil Engineering 2023
language:
Short-container-title:

Author:

Xiao Jinwu¹²³,Oh Dahyun¹²³,Kang Kyubyung¹²³

Affiliation:

1. Graduate Research Assistant and Student, School of Construction Management Technology, Purdue Univ., West Lafayette, IN. ORCID: .

2. Graduate Research Assistant, Dept. of Civil Engineering, Chungbuk National Univ.

3. Assistant Professor, School of Construction Management Technology, Purdue Univ., West Lafayette, IN. ORCID: .

Publisher

American Society of Civil Engineers

Link

https://ascelibrary.org/doi/pdf/10.1061/9780784485231.067

Reference21 articles.

1. An overview of smartphone technology for citizen-centered, real-time and scalable civil infrastructure monitoring

2. Crowdsensing in Smart Cities: Overview, Platforms, and Environment Sensing Issues

3. From crowd to cloud: simplified automatic reconstruction of digital building assets for facility management

4. Bentley. (2023). ContextCapture - 3D reality modelling software. Retrieved from https://www.bentley.com/en/products/brands/contextcapture.

5. Mobile crowdsourcing-based data collection for user-centered facility maintenance management

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