70 citations · 116 across the 10 of their papers we have counts for
10 papers
Quantifying disparities in air pollution exposures across the United States using home and work addresses
Priyanka deSouza, Susan Anenberg, Carrie Makarewicz +6
While human mobility plays a crucial role in determining air pollution exposures and health risks, research to-date has assessed risks based solely on residential location. Here we…
Urban Visual Intelligence: Studying Cities with AI and Street-level Imagery
Fan Zhang, Arianna Salazar Miranda, Fábio Duarte +6
The visual dimension of cities has been a fundamental subject in urban studies, since the pioneering work of scholars such as Sitte, Lynch, Arnheim, and Jacobs. Several decades lat…
Survey of Deep Learning for Autonomous Surface Vehicles in the Marine Environment
Yuanyuan Qiao, Jiaxin Yin, Wei Wang +3
Within the next several years, there will be a high level of autonomous technology that will be available for widespread use, which will reduce labor costs, increase safety, save e…
Wanderlust: 3D Impressionism in Human Journeys
Guangyu Du, Lei Dong, Fabio Duarte +1
The movements of individuals are fundamental to building and maintaining social connections. This pictorial presents Wanderlust, an experimental three-dimensional data visualizatio…
Favelas 4D: Scalable methods for morphology analysis of informal settlements using terrestrial laser scanning data
Arianna Salazar Miranda, Guangyu Du, Claire Gorman +3
One billion people live in informal settlements worldwide. The complex and multilayered spaces that characterize this unplanned form of urbanization pose a challenge to traditional…
Robust Place Recognition using an Imaging Lidar
Tixiao Shan, Brendan Englot, Fabio Duarte +2
We propose a methodology for robust, real-time place recognition using an imaging lidar, which yields image-quality high-resolution 3D point clouds. Utilizing the intensity reading…
Leveraging Artificial Intelligence to Analyze Citizens' Opinions on Urban Green Space
Mohammadhossein Ghahramani, Nadina J. Galle, Fabio Duarte +2
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. The quality of…
Deep Learning Based Video System for Accurate and Real-Time Parking Measurement
Bill Yang Cai, Ricardo Alvarez, Michelle Sit +2
Parking spaces are costly to build, parking payments are difficult to enforce, and drivers waste an excessive amount of time searching for empty lots. Accurate quantification would…
Quantifying Legibility of Indoor Spaces Using Deep Convolutional Neural Networks: Case Studies in Train Stations
Zhoutong Wang, Qianhui Liang, Fabio Duarte +5
Legibility is the extent to which a space can be easily recognized. Evaluating legibility is particularly desirable in indoor spaces, since it has a large impact on human behavior…
Indoor Space Recognition using Deep Convolutional Neural Network: A Case Study at MIT Campus
Fan Zhang, Fabio Duarte, Ruixian Ma +3
In this paper, we propose a robust and parsimonious approach using Deep Convolutional Neural Network (DCNN) to recognize and interpret interior space. DCNN has achieved incredible…