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Found 5 papers, 1 papers with code
Favelas 4D: Scalable methods for morphology analysis of informal settlements using terrestrial laser scanning data
Our analysis operates at two resolutions, including a \emph{global} analysis focused on comparing different streets of the favela to one another, and a \emph{local} analysis unpacking the variation of morphological metrics within streets.
Robust Place Recognition using an Imaging Lidar
We propose a methodology for robust, real-time place recognition using an imaging lidar, which yields image-quality high-resolution 3D point clouds.
Leveraging Artificial Intelligence to Analyze Citizens' Opinions on Urban Green Space
Continued population growth and urbanization is shifting research to consider the quality of urban green space over the quantity of these parks, woods, and wetlands.
Opinion Mining
Text Classification
Social and Information Networks
Quantifying Legibility of Indoor Spaces Using Deep Convolutional Neural Networks: Case Studies in Train Stations
Evaluating legibility is particularly desirable in indoor spaces, since it has a large impact on human behavior and the efficiency of space utilization.
Indoor Space Recognition using Deep Convolutional Neural Network: A Case Study at MIT Campus
In this paper, we propose a robust and parsimonious approach using Deep Convolutional Neural Network (DCNN) to recognize and interpret interior space.
