ResearchTrend.AI
Quantifying Legibility of Indoor Spaces Using Deep Convolutional Neural Networks: Case Studies in Train Stations

Quantifying Legibility of Indoor Spaces Using Deep Convolutional Neural Networks: Case Studies in Train Stations

Zhoutong Wang
Q. Liang
Fábio Duarte
Fan Zhang
Louis Charron
L. Johnsen
B. Cai
C. Ratti
ArXivPDFHTML

Papers citing "Quantifying Legibility of Indoor Spaces Using Deep Convolutional Neural Networks: Case Studies in Train Stations"

Title
No papers