SIMSCAN – Simulation of Safe Continuous Autonomous Navigation

This project aims to use flocks of autonomous UAVs for inspection, map generation, and the production of real-time digital twins in dynamic (i.e., time-changing) environments, using commercial ports as a case study. This project will advance autonomous drone navigation in the presence of vehicles and people, the automated deployment of large fleets, and support and improve port logistics and security. This realization of this project involves a close relationship between academic and industrial sectors, combining business skills, advanced knowledge in perception and navigation, simulation and artificial intelligence.

Faculty Supervisor:

Giovanni Beltrame

Student:

Partner:

CGI;Presagis Canada Inc

Discipline:

Engineering

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

Polytechnique Montréal

Program: