Computer Vision

An open-source software to facilitate the entire process of street view imagery analytics and supporting a wide range of use cases. Together with a paper in CEUS.

Building and Environment publishes our work on thermal affordance and its visual assessment for sustainable streetscape design.

Computers, Environment and Urban Systems publishes our work on estimating the coverage of urban environment elements in SVI and their implications.

Sustainable Cities and Society publishes our multi-hyper graph approach for classifying urban heat and flood vulnerability through street view imagery.

Cities publishes our new systematic review with a focus on opportunities for machine learning.

Cities publishes our work on quantifying and analysing views from images obtained from online ads in China.

Transportation Research Part A publishes our work on examining the causal relationships between street features and cycling mobility.

Cities publishes our method and implementation of public-centered UDTs for automatic perception simulations to enhance citizen participation and collaboration.

Sustainable Cities and Society publishes our work on a new perspective for sensing urban lighting landscape.

Building and Environment publishes our new take on the sky view factor.