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.
Photos
Poster
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Presenters
Yoichi Chikahara
Innovative Communication Laboratory
Futoshi Naya
Innovative Communication Laboratory
Oral Presentations:
Eisaku Maeda (Director's Talk) |
Tomoharu Iwata |
Takuhiro Kaneko |
Makio Kashino |
Takashi G. Sato |
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