Automatic construction layout marking using ground and aerial vehicles

The proposed research aims to map and locate pollutant sources by deploying a team of unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs) after a natural or human induced disaster in order to sense, assess and aid in search-and-rescue operations. We aim to use a heterogeneous team, armed with an array of gaseous and aerosols sensors, in order to assess and map the current state and risks. These heterogeneous robotic teams are better suited to handle tasks in catastrophic events that might cover a large geographical area (e.g., earthquakes) or present complex scenarios (e.g., collapsed building).
The project will use small UAVs, in coordination with a UGV, to detect air pollutants. This will be an initial demonstration which will be done indoors with a motion tracking system and small aerial vehicles all controlled from a central computer. TO BE CONT’D

Faculty Supervisor:

Deepa Kundur

Student:

Partner:

Technion – Israel Institute of Technology

Discipline:

Engineering

Sector:

Education

University:

University of Toronto

Program: