Urban Analytics Lab
Geospatial and 3D urban modelling research group at the National University of Singapore
News
Updates from our group
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New paper: Assessing bikeability with street view imagery and computer vision
Transportation Research Part C publishes our novel work on the application of computer vision in gauging cycling appeal in cities
UAL researchers develop AI-powered tool to map sustainable roofs globally
Our research is in the news again. Our method ranks Singapore highly amongst 17 cities for solar roof utilisation
Graduation projects completed at our Lab in 2021
We are proud to announce that in the last few months, four students have completed their studies by carrying out a graduation project with us.
Welcome to our new researchers
Hello Binyu, Yujun, Leon, Mengbi, and Winston
New paper: Classification of Urban Morphology with Deep Learning
A leading journal – Computers, Environment and Urban Systems, publishes our pioneering work on the application of computer vision in studying the urban form
New paper: review on street view imagery in urban analytics and GIS
Landscape and Urban Planning, a top journal in the field, publishes our comprehensive exploration on this growing urban data source
Featured publications
Classification of Urban Morphology with Deep Learning: Application on Urban Vitality
There is a prevailing trend to study urban morphology quantitatively thanks to the growing accessibility to various forms of spatial big data, increasing computing power, and use cases benefiting from such information.
Street view imagery in urban analytics and GIS: A review
Street view imagery has rapidly ascended as an important data source for geospatial data collection and urban analytics, deriving insights and supporting informed decisions.
Contact
- filip@nus.edu.sg
- School of Design and Environment, 8 Architecture Dr, Singapore, 117356