Safe Unmanned Traffic Management (SafeUTM)

Unmanned Air Vehicles (UAVs) became ubiquitous in our everyday civilian lives for both recreational activities, such as sports, as well as film and photography. They have also been used in several military operations such as tactical reconnaissance. The prediction of a near future where drones will be used frequently for search and rescue, package delivery and, in larger scale urban mobility, has drawn the attention of regulatory bodies to the need of new regulations for safe Unmanned Air Traffic Management (UTM). This research proposes a set of software solutions for the safe operation of drones in urban, rural, and remote areas. The research focuses on the development of novel sense and avoid algorithms. These algorithms will be part of SafeUTM, which is a platform under development by Savinte that will create a safe operation of drone traffic in accordance with the regulations for Remotely Piloted Aircraft Systems (RPAS). The proposed solutions will enhance the safety of automatic, semi-automatic, and manual operation of drones.

Faculty Supervisor:

Luis Rodrigues

Student:

Partner:

Savinte

Discipline:

Engineering

Sector:

Manufacturing

University:

Concordia University

Program: