7 citations · 11 across the 2 of their papers we have counts for
4 papers
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…
A pedestrian level strategy to minimize outdoor sunlight exposure in hot summer
Xiaojiang Li, Yuji Yoshimura, Wei Tu +1
Too much sunlight exposure would cause heat stress for people during the hot summer, although a minimum amount of sunlight is required for humans.
Treepedia 2.0: Applying Deep Learning for Large-scale Quantification of Urban Tree Cover
Bill Yang Cai, Xiaojiang Li, Ian Seiferling +1
Recent advances in deep learning have made it possible to quantify urban metrics at fine resolution, and over large extents using street-level images. Here, we focus on measuring u…
A novel method for predicting and mapping the presence of sun glare using Google Street View
Xiaojiang Li, Bill Yang Cai, Waishan Qiu +2
The sun glare is one of the major environmental hazards that cause traffic accidents. Every year, many people died and injured in traffic accidents related to sun glare. Providing…