Science of Machine Learning

Exhibition Program 1

Smart city sensing using municipal vehicles

Spatio-temporal city event detection via car-mounted sensors

Abstract

We are researching and developing techniques for city event detection using environmental data collected via car-mounted sensors. Car-mounted sensors provide significantly more detailed data both in space and time than fixed monitoring stations. Such fine-grained environmental data help to detect more in-depth spatio-temporal city events, such as emergence of air pollution hot spots, increase in ambient noise, and accumulation of household garbage. We have been conducting field trials to evaluate our technologies in Fujisawa City. We have mounted several environmental sensors on garbage trucks to collect fine-grained data, and have investigated several event detection techniques using them.

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Poster


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Presenters

Yasue Kishino
Yasue Kishino
Innovative Communication Laboratory
Yoshinari Shirai
Yoshinari Shirai
Innovative Communication Laboratory
Shin Mizutani
Shin Mizutani
Innovative Communication Laboratory
Yoichi Chikahara
Yoichi Chikahara
Innovative Communication Laboratory
Futoshi Naya
Futoshi Naya
Innovative Communication Laboratory
Akinori Fujino
Akinori Fujino
Innovative Communication Laboratory