686 citations · 3.3k across the 81 of their papers we have counts for
7 papers · 1 filter
Deep Learning Architect: Classification for Architectural Design through the Eye of Artificial Intelligence
Yuji Yoshimura, Bill Cai, Zhoutong Wang +1
This paper applies state-of-the-art techniques in deep learning and computer vision to measure visual similarities between architectural designs by different architects. Using a da…
Quantifying the sensing power of crowd-sourced vehicle fleets
Kevin P. O'Keeffe, Amin Anjomshoaa, Steven H. Strogatz +2
Sensors can measure air quality, traffic congestion, and other aspects of urban environments. The fine-grained diagnostic information they provide could help urban managers to moni…
Analysis of visitors' mobility patterns through random walk in the Louvre museum
Yuji Yoshimura, Roberta Sinatra, Anne Krebs +1
This paper proposes a random walk model to analyze visitors' mobility patterns in a large museum. Visitors' available time makes their visiting styles different, resulting in dissi…
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…
Addressing the "minimum parking" problem for on-demand mobility
Daniel Kondor, Paolo Santi, Diem-Trinh Le +3
Parking infrastructure is pervasive and occupies large swaths of land in cities. However, on-demand (OD) mobility -- such as commercial services Uber, Grab or Didi -- has started r…