UAV-based automated 3D modeling framework using deep learning for building energy modeling-Reference-Cited by-同舟云学术

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UAV-based automated 3D modeling framework using deep learning for building energy modeling

Published:2024-02 Issue: Volume:101 Page:105169
ISSN:2210-6707
Container-title:Sustainable Cities and Society
language:en
Short-container-title:Sustainable Cities and Society

Author:

Yoon Jonghyeon,Kim Yeeun^ORCID,Lee Sanghyo^ORCID,Shin Minjae^ORCID

Funder

Korea Agency for Infrastructure Technology Advancement

Ministry of Land, Infrastructure and Transport

Publisher

Elsevier BV

Subject

Transportation,Renewable Energy, Sustainability and the Environment,Civil and Structural Engineering,Geography, Planning and Development

Reference48 articles.

1. Integrating building footprints and LiDAR elevation data to classify roof structures and visualise buildings;Alexander;Computers, Environment and Urban Systems,2009

2. 2D Image-To-3D model: Knowledge-based 3D building reconstruction (3DBR) using single aerial images and convolutional neural networks (CNNs);Alidoost;Remote Sensing,2019

3. A review of modelling approaches and tools for the simulation of district-scale energy systems;Allegrini;Renewable and Sustainable Energy Reviews,2015

4. From concept to application: A review of use cases in urban building energy modeling;Ang;Applied Energy,2020

5. Energy standard for buildings except low-rise residential buildings,2019

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