EPFL/ENAC/IIE/DISAL
Expert in Modeling-self-organized systems
Alcherio Martinoli
EPFL
OpenSense2
Exploiting crowdsourcing for high-resolution air quality sensing in order to compute pollution maps and measure the impact of exposure to air pollution on health
Printable Summary in PDF

Go to related Gateway project

LSIR-EPFL
Expert in Distributed Information Systems
Karl Aberer
LSIR-EPFL
CHUV/IUMSP
Expert in the epidemiology of blood pressure and related cardiovascular traits, including their genetic determinants
Murielle Bochud
CHUV
EMPA
Expert in Gas spectroscopy
Lukas Emmenegger
EMPA
EPFL
Expert in Plan Recognition. distributed algorithms for information gathering and integration
Boi Faltings
EPFL
ETHZ/CS/LAS
Expert in learning and adaptive systems that actively acquire information, reason and make decisions in large, distributed and uncertain domains
Andreas Krause
ETHZ
IST/Institut de Santé au Travail
Expert in environmental health
Michael Riediker
IST
ETHZ / Computer Engineering & Networks Lab.
Expert in Resource constrained system optimization, RF communication, computer engineering
Lothar Thiele
ETHZ

Project Description

Novel sensing technologies can provide air quality data with unprecedented temporal and spatial resolution. This opens exciting new opportunities for the study of urban air quality and its impact on health. However, as opposed to traditional, expensive, and highly accurate air quality measurements, the use of dense networks based on low-cost sensors is largely unexploited. An important issue for obtaining accurate and spatially highly resolved air pollution data is the tradeo between high cost of accurate air pollution monitoring sensors and the number of such devices required for succinctly monitoring a given geographical area.  

[read on]
Read the Project Presentation

Our researchers in the media

Notable publications

Model-View Sensor Data Management in the Cloud
T. Guo, T. G. Papaioannou and K. Aberer
IEEE International Conference on Big Data (BigData)

A model-based back-end for air quality data management.
E. C. Un, J. Eberle, Y. Kim and K. Aberer.
ACM conference on Pervasive and ubiquitous computing - UbiComp 13

Energy-Efficient Opportunistic Collaborative Sensing
J. Eberle, Z. Yan and K. Aberer
IEEE 10th International Conference on Mobile Ad-Hoc and Sensor Systems (MASS)

Evaluation of high-resolution GRAMM/GRAL NOx simulations over the city of Zurich, Switzerland
Berchet, A., Zink, K., Oettl, D., Brunner, J., Emmenegger, L., and Brunner, D.
Geosci. Model Dev. Discuss., doi:10.5194/gmd-2017-102, 2017


[more]

Posters from 2016


Pre-Deployment Testing, Augmentation and Calibration of Cross-Sensitive Sensors
Balz Maag, Olga Saukh, Zimu Zhou, David Hasenfratz, Lothar Thiele

Limiting the Influence of Low Quality Information in Community Sensing
Goran Radanovic and Boi Faltings

Characterizing impact of air pollution on human health
Dai-Hua TSAI, Michael RIEDIKER, Nancy HOPF, Nicole CHARRIERE, Sandrine ESTOPPEY-YOUNES, Murielle BOCHUD

Adaptive Sampling for Characterizing Sensor Accuracy and Sensor Selection
Andreas Krause, Adish Singla


[more]

Posters from 2015


Health-Optimal Routing in Urban Areas
Olga Saukh, Balz Maag, David Hasenfratz, Tabita Arn, Ivo de Concini, Lothar Thiele

Efficiently gathering contextual information for health studies
Julien Eberle, Jean-Paul Calbimonte, Karl Aberer

Towards High Resolution Air Pollution Maps for the City of Lausanne
Adrian Arfire, Ali Marjovi, Emmanuel Droz, Alcherio Martinoli

High-resolution air pollution modeling for urban environments
Antoine Berchet, Katrin Zink, Adrian Arfire, Ali Marjovi, Alcherio Martinoli, Lukas Emmenegger, and Dominik Brunner


[more]

Posters from 2014


Incentives Schemes for Community Sensing
Goran Radanovic, Boi Faltings

Incentives for Data Gathering in Community Sensing
Adish Singla, Andreas Krause

Incentives Schemes for Community Sensing
Goran Radanovic, Boi Faltings

Infrastructure for crowdsourcing environmental monitoring
Julien Eberle, Jean-Paul Calbimonte, Karl Aberer


[more]
    

Project Photos