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Found 22 papers, 6 papers with code
GreenScan: Towards large-scale terrestrial monitoring the health of urban trees using mobile sensing
Healthy urban greenery is a fundamental asset to mitigate climate change phenomena such as extreme heat and air pollution.
Urban Visual Intelligence: Studying Cities with AI and Street-level Imagery
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.
Survey of Deep Learning for Autonomous Surface Vehicles in the Marine Environment
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 energy, enable difficult unmanned tasks in harsh environments, and eliminate human error.
Evaluation of non-pharmaceutical interventions and optimal strategies for containing the COVID-19 pandemic
Given multiple new COVID-19 variants are continuously emerging, non-pharmaceutical interventions are still primary control strategies to curb the further spread of coronavirus.
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.
Vector-based Pedestrian Navigation in Cities
How do pedestrians choose their paths within city street networks?
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
Crowdsourcing Bridge Vital Signs with Smartphone Vehicle Trips
The primary study collects smartphone data from controlled field experiments and "uncontrolled" UBER rides on a long-span suspension bridge in the USA and develops an analytical method to accurately recover modal properties.
Computers and Society Applied Physics
ConiVAT: Cluster Tendency Assessment and Clustering with Partial Background Knowledge
We demonstrate ConiVAT approach to visual assessment and single linkage clustering on nine datasets to show that, it improves the quality of iVAT images for complex datasets, and it also overcomes the limitation of SL clustering with VAT/iVAT due to "noisy" bridges between clusters.
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
We propose a framework for tightly-coupled lidar inertial odometry via smoothing and mapping, LIO-SAM, that achieves highly accurate, real-time mobile robot trajectory estimation and map-building.
Robotics
Quantifying Urban Canopy Cover with Deep Convolutional Neural Networks
Urban canopy cover is important to mitigate the impact of climate change.
Estimating the potential for shared autonomous scooters
Recent technological developments have shown significant potential for transforming urban mobility.
Computers and Society
Deep Learning Based Video System for Accurate and Real-Time Parking Measurement
Parking spaces are costly to build, parking payments are difficult to enforce, and drivers waste an excessive amount of time searching for empty lots.
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.
Deep Learning Architect: Classification for Architectural Design through the Eye of Artificial Intelligence
Our clustering of architectural designs remarkably corroborates conventional views in architectural history, and the learned architectural features also coheres with the traditional understanding of architectural designs.
Treepedia 2.0: Applying Deep Learning for Large-scale Quantification of Urban Tree Cover
We apply state-of-the-art deep learning models, and compare their performance to a previously established benchmark of an unsupervised method.
A novel method for predicting and mapping the presence of sun glare using Google Street View
GSV images have view sight similar to drivers, which would make GSV images suitable for estimating the visibility of sun glare to drivers.
Estimating savings in parking demand using shared vehicles for home-work commuting
The increasing availability and adoption of shared vehicles as an alternative to personally-owned cars presents ample opportunities for achieving more efficient transportation in cities.
Computers and Society Social and Information Networks
Driving Behavior Analysis through CAN Bus Data in an Uncontrolled Environment
Cars can nowadays record several thousands of signals through the CAN bus technology and potentially provide real-time information on the car, the driver and the surrounding environment.
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.
Semantic Enrichment of Mobile Phone Data Records Using Background Knowledge
This article addresses the issues in context awareness given heterogeneous and uncertain data of mobile network events missing reliable information on the context of this activity.
