activity
20182020
most citedTreepedia 2.0: Applying Deep Learning for Large-scale Quantification of Urban Tree Cover

39 citations · 53 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SY2020★ 3 cited

Fully Decentralized Reinforcement Learning-based Control of Photovoltaics in Distribution Grids for Joint Provision of Real and Reactive Power

Rayan El Helou, Dileep Kalathil, Le Xie

In this paper, we introduce a new framework to address the problem of voltage regulation in unbalanced distribution grids with deep photovoltaic penetration. In this framework, bot…

cs.CV2019★ 7 cited

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…

physics.soc-ph2019★ 4 cited

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.

cs.CV2018★ 39 cited

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…

cs.CV2018

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…