Multi-modal crowd sensing to monitor buildings in smart cities
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Abstract
In this project, we will put forward a monitoring system for urban areas using TIR, based on the synergic useof UAVs and cars, to minimize the downsides of both approaches and improving the quality and reliability ofmeasurements. Cars will be used as ground measurement and processing units, as well as ground stationsand relays for UAVs. UAVs collaborative clusters will be used to perform agile and accurate measurementsat the highest levels above the ground. The collected multi-rate, multi-resolution measurement sets will beinterpreted and fused on board of the cars in order to produce accurate analyses of the urban area,especially energetic analyses. This approach leverages the research team skillset, i.e., multi-agent modelingand control, networked control systems, robust optimization, development and testing of guidance,navigation and control systems of UAVs, multi-modal sensing and visualization, thermal analysis of builtenvironment, and smart cities analytics and design.
People involved
- Alessandro Rizzo. (Responsabile Scientifico)
Departments
Partners
- MIT MASSACHUSETTS INSTITUTE OF TECHNOLOGY
Budget
Total cost: | € 42,500.00 |
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Total contribution: | € 42,500.00 |
PoliTo total cost: | € 37,637.26 |
PoliTo contribution: | € 37,637.26 |