b'Carlo Ratti'

research

∙ 07/23/2023

Speed Limit: Obey, or Not Obey?

It is commonly expected that drivers maintain a driving speed that is lo...

0 Zhengbing He, et al. ∙

research

∙ 03/22/2023

Quantifying disparities in air pollution exposures across the United States using home and work addresses

While human mobility plays a crucial role in determining air pollution e...

0 Priyanka deSouza, et al. ∙

research

∙ 02/16/2023

Deep Reinforcement Learning Based Tracking Control of an Autonomous Surface Vessel in Natural Waters

Accurate control of autonomous marine robots still poses challenges due ...

0 Wei Wang, et al. ∙

research

∙ 01/10/2023

Evaluating the Performance of Low-Cost PM2.5 Sensors in Mobile Settings

Low-cost sensors (LCS) for measuring air pollution are increasingly bein...

0 Priyanka deSouza, et al. ∙

research

∙ 01/02/2023

Urban Visual Intelligence: Studying Cities with AI and Street-level Imagery

The visual dimension of cities has been a fundamental subject in urban s...

0 Fan Zhanga, et al. ∙

research

∙ 02/28/2022

Evaluation of non-pharmaceutical interventions and optimal strategies for containing the COVID-19 pandemic

Given multiple new COVID-19 variants are continuously emerging, non-phar...

0 Xiao Zhou, et al. ∙

research

∙ 01/06/2022

The effect of co-location of human communication networks

The ability to rewire ties in communication networks is vital for large-...

0 Daniel Carmody, et al. ∙

research

∙ 10/11/2021

Subnetwork Constraints for Tighter Upper Bounds and Exact Solution of the Clique Partitioning Problem

We consider a variant of the clustering problem for a complete weighted ...

0 Alexander Belyi, et al. ∙

research

∙ 08/31/2021

Wanderlust: 3D Impressionism in Human Journeys

The movements of individuals are fundamental to building and maintaining...

0 Guangyu Du, et al. ∙

research

∙ 04/22/2021

LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping

We propose a framework for tightly-coupled lidar-visual-inertial odometr...

0 Tixiao Shan, et al. ∙

research

∙ 03/12/2021

Vector-based Pedestrian Navigation in Cities

How do pedestrians choose their paths within city street networks? Human...

0 Christian Bongiorno, et al. ∙

research

∙ 03/03/2021

Robust Place Recognition using an Imaging Lidar

We propose a methodology for robust, real-time place recognition using a...

9 Tixiao Shan, et al. ∙

research

∙ 10/06/2020

Crowdsourcing Bridge Vital Signs with Smartphone Vehicle Trips

The efficacy of sensor data in modern bridge condition evaluations has b...

0 Thomas J. Matarazzo, et al. ∙

research

∙ 09/21/2020

Identifying synergies in private and public transportation

In this paper, we explore existing synergies between private and public ...

0 Iva Bojic, et al. ∙

research

∙ 08/21/2020

ConiVAT: Cluster Tendency Assessment and Clustering with Partial Background Knowledge

The VAT method is a visual technique for determining the potential clust...

0 Punit Rathore, et al. ∙

research

∙ 07/21/2020

Distributed Motion Control for Multiple Connected Surface Vessels

We propose a scalable cooperative control approach which coordinates a g...

0 Wei Wang, et al. ∙

research

∙ 07/20/2020

Roboat II: A Novel Autonomous Surface Vessel for Urban Environments

This paper presents a novel autonomous surface vessel (ASV), called Robo...

0 Wei Wang, et al. ∙

research

∙ 07/16/2020

A Receding Horizon Multi-Objective Planner for Autonomous Surface Vehicles in Urban Waterways

We propose a novel receding horizon planner for an autonomous surface ve...

0 Tixiao Shan, et al. ∙

research

∙ 07/01/2020

LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping

We propose a framework for tightly-coupled lidar inertial odometry via s...

0 Tixiao Shan, et al. ∙

research

∙ 12/03/2019

Quantifying Urban Canopy Cover with Deep Convolutional Neural Networks

Urban canopy cover is important to mitigate the impact of climate change...

6 Bill Cai, et al. ∙

research

∙ 09/09/2019

Estimating the potential for shared autonomous scooters

Recent technological developments have shown significant potential for t...

0 Dániel Kondor, et al. ∙

research

∙ 02/20/2019

Deep Learning Based Video System for Accurate and Real-Time Parking Measurement

Parking spaces are costly to build, parking payments are difficult to en...

8 Bill Yang Cai, et al. ∙

research

∙ 01/22/2019

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

Legibility is the extent to which a space can be easily recognized. Eval...

0 Zhoutong Wang, et al. ∙

research

∙ 12/03/2018

Deep Learning Architect: Classification for Architectural Design through the Eye of Artificial Intelligence

This paper applies state-of-the-art techniques in deep learning and comp...

0 Yuji Yoshimura, et al. ∙

research

∙ 11/07/2018

Analysis of visitors' mobility patterns through random walk in the Louvre museum

This paper proposes a random walk model to analyze visitors' mobility pa...

0 Yuji Yoshimura, et al. ∙

research

∙ 08/17/2018

Large-scale estimation of parking requirements for autonomous mobility on demand systems

Cities everywhere are anticipating new mobility technologies to help sol...

0 Dániel Kondor, et al. ∙

research

∙ 08/14/2018

Treepedia 2.0: Applying Deep Learning for Large-scale Quantification of Urban Tree Cover

Recent advances in deep learning have made it possible to quantify urban...

8 Bill Yang Cai, et al. ∙

research

∙ 08/05/2018

A novel method for predicting and mapping the presence of sun glare using Google Street View

The sun glare is one of the major environmental hazards that cause traff...

0 Xiaojiang Li, et al. ∙

research

∙ 10/13/2017

Estimating savings in parking demand using shared vehicles for home-work commuting

The increasing availability and adoption of shared vehicles as an altern...

0 Dániel Kondor, et al. ∙

research

∙ 10/09/2017

Driving Behavior Analysis through CAN Bus Data in an Uncontrolled Environment

Cars can nowadays record several thousands of signals through the CAN bu...

0 Umberto Fugiglando, et al. ∙

research

∙ 10/07/2016

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 ...

0 Fan Zhang, et al. ∙

research

∙ 04/22/2015

Semantic Enrichment of Mobile Phone Data Records Using Background Knowledge

Every day, billions of mobile network events (i.e. CDRs) are generated b...

0 Zolzaya Dashdorj, et al. ∙

research

∙ 10/10/2012

Kinects and Human Kinetics: A New Approach for Studying Crowd Behavior

Modeling crowd behavior relies on accurate data of pedestrian movements ...

0 Stefan Seer, et al. ∙

Carlo Ratti

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