UAV-based persistent surveillance system

Unmanned aerial vehicles (UAVs) have become ubiquitous. However, many challenges still need to be addressed to capitalize on their unique capabilities to support the creation of new Internet-of-Things services. The main difficulty is managing a swarm of UAVs in challenging environments. This project focuses on developing and evaluating a new UAV-based persistent surveillance system (UPSS) with distinguishing features. UPSS will rely on new energy-efficient consumption and coverage mechanisms for a swarm of UAVs when tested under various mission scenarios and constraints. This project is differentiated by its methodology, which combines well-established simulators and accurate experiments in a synergistic way to validate the algorithms derived from graph theory, artificial intelligence, operational research, and control theory. We are convinced that the resulting solutions will strengthen the position of Canadian aeronautical engineering companies and its suppliers like NOTOS as leaders in the UAV domain of interest.

Faculty Supervisor:

Nadjia Kara

Student:

Partner:

Notos Technologies Inc.;Shearwater Aerospace

Discipline:

Engineering

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

École de technologie supérieure

Program: