Towards Human-centric Digital Twins: Leveraging Computer Vision and Graph Models to Predict Outdoor Comfort
10.1016/j.scs.2023.104480
Saved in:
Main Authors: | Liu, Pengyuan, Zhao, Tianhong, Luo, Junjie, Lei, Binyu, Frei, Mario, Miller, Clayton, Biljecki, Filip |
---|---|
Other Authors: | ARCHITECTURE |
Format: | Article |
Published: |
Elsevier BV
2023
|
Online Access: | https://scholarbank.nus.edu.sg/handle/10635/238077 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Similar Items
-
Predicting building characteristics at urban scale using graph neural networks and street-level context
by: Lei, Binyu, et al.
Published: (2024) -
Semantic Riverscapes: Perception and evaluation of linear landscapes from oblique imagery using computer vision
by: Luo, Junjie, et al.
Published: (2022) -
Uncovering the challenges of urban digital twins
by: Lei, Binyu, et al.
Published: (2023) -
Computer vision centric hybrid tracking for augmented reality in outdoor urban environments
by: Fong, W.T., et al.
Published: (2014) -
Challenges of urban digital twins: A systematic review and a Delphi expert survey
by: Lei, Binyu, et al.
Published: (2023)