Research database

Multi-modal crowd sensing to monitor buildings in smart cities

Duration:
12 months (2017 - 2018)
Principal investigator(s):
Project type:
Non-EU international research
Funding body:
ALTRO INTERNAZIONALE (Siebel Energy Institute)
Project identification number:
SIEBEL Energy Institute - Call for Proposals #3

Abstract

In this project, we will put forward a monitoring system for urban areas using TIR, based on the synergic use of UAVs and cars, to minimize the downsides of both approaches and improving the quality and reliability of measurements. Cars will be used as ground measurement and processing units, as well as ground stations and relays for UAVs. UAVs collaborative clusters will be used to perform agile and accurate measurements at the highest levels above the ground. The collected multi-rate, multi-resolution measurement sets will be interpreted 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 modeling and 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 built environment, and smart cities analytics and design.

People involved

Departments

Partners

  • MIT MASSACHUSETTS INSTITUTE OF TECHNOLOGY

Budget

Total cost: € 42,500.00
Total contribution: € 42,500.00
PoliTo total cost: € 37,637.26
PoliTo contribution: € 37,637.26