[HTML][HTML] Street view imagery in urban analytics and GIS: A review
F Biljecki, K Ito - Landscape and Urban Planning, 2021 - Elsevier
Street view imagery has rapidly ascended as an important data source for geospatial data
collection and urban analytics, deriving insights and supporting informed decisions. Such …
collection and urban analytics, deriving insights and supporting informed decisions. Such …
Computer vision technology for monitoring of indoor and outdoor environments and HVAC equipment: a review
Artificial intelligence technologies such as computer vision (CV), machine learning, Internet
of Things (IoT), and robotics have advanced rapidly in recent years. The new technologies …
of Things (IoT), and robotics have advanced rapidly in recent years. The new technologies …
Understanding architecture age and style through deep learning
Architectural styles and their evolution are central to architecture history. However,
traditional approaches to understand styles and their evolution require domain expertise …
traditional approaches to understand styles and their evolution require domain expertise …
[HTML][HTML] Understanding building energy efficiency with administrative and emerging urban big data by deep learning in Glasgow
With buildings consuming nearly 40% of energy in developed countries, it is important to
accurately estimate and understand the building energy efficiency in a city. A better …
accurately estimate and understand the building energy efficiency in a city. A better …
Estimating building energy efficiency from street view imagery, aerial imagery, and land surface temperature data
Current methods to determine the energy efficiency of buildings generally require on-site
visits of certified energy auditors which makes the process slow, costly, and geographically …
visits of certified energy auditors which makes the process slow, costly, and geographically …
[HTML][HTML] Integration of convolutional and adversarial networks into building design: A review
Convolutional and adversarial networks are found in various fields of knowledge and
activities. One such field is building design, a multi-disciplinary and multi-task process …
activities. One such field is building design, a multi-disciplinary and multi-task process …
Deep learning–based building attribute estimation from google street view images for flood risk assessment using feature fusion and task relation encoding
Floods are the most common and damaging natural disaster worldwide in terms of both
economic losses and human casualties. Currently, policymakers rely on data collected …
economic losses and human casualties. Currently, policymakers rely on data collected …
Predicting building age from urban form at large scale
To stay within 1.5° C of global warming, reducing energy-related emissions in the building
sector is essential. Rather than generic climate recommendations, this requires tailored, low …
sector is essential. Rather than generic climate recommendations, this requires tailored, low …
A big data analytics strategy for scalable urban infrastructure condition assessment using semi-supervised multi-transform self-training
This work aims to leverage the recent advances in the field of computer vision and big data
computing to develop a scalable framework for image-based monitoring of urban …
computing to develop a scalable framework for image-based monitoring of urban …
Smart and sentient retail high streets
PM Torrens - Smart Cities, 2022 - mdpi.com
Here, we examine the extension of smart retailing from the indoor confines of stores,
outward to high streets. We explore how several technologies at the union of retail …
outward to high streets. We explore how several technologies at the union of retail …