70 citations · 143 across the 8 of their papers we have counts for
3 papers · 1 filter
Quantifying Urban Canopy Cover with Deep Convolutional Neural Networks
Bill Cai, Xiaojiang Li, Carlo Ratti
Urban canopy cover is important to mitigate the impact of climate change. Yet, existing quantification of urban greenery is either manual and not scalable, or use traditional compu…
Deep Learning Based Video System for Accurate and Real-Time Parking Measurement
Bill Yang Cai, Ricardo Alvarez, Michelle Sit +2
Parking spaces are costly to build, parking payments are difficult to enforce, and drivers waste an excessive amount of time searching for empty lots. Accurate quantification would…
Quantifying Legibility of Indoor Spaces Using Deep Convolutional Neural Networks: Case Studies in Train Stations
Zhoutong Wang, Qianhui Liang, Fabio Duarte +5
Legibility is the extent to which a space can be easily recognized. Evaluating legibility is particularly desirable in indoor spaces, since it has a large impact on human behavior…