Development and Testing of the Sense and Avoid System of an Unmanned Aerial Vehicle

OData support
Dr. Sütő Zoltán
Department of Automation and Applied Informatics

Today's Unmanned Aerial Vehicles (UAV) are not capable of autonomous sensing and avoiding other participants of the airspace. This represents a great hazard for mid-air collision with other airplanes. Small UAVs don't possess enough power to carry heavy equipment used by commercial airplanes like radars, Traffic Collision Avoidance System (TCAS) etc., but, are equipped with cameras to help them sense their environment. This provides the opportunity to use camera-based Sense and Avoid (S&A) systems which is an ongoing research project in MTA SZTAKI considering UAV to UAV collision scenarios.

The main goal of the project is the development and Hardware-In-the-Loop (HIL) test of methods to guide two aircrafts into different collision scenarios and test the effectiveness of the S&A system. The start of collision scenario creation will be the time instant when the pilots switch the two aircrafts into autopilot mode. From this point coordinated flight of the two aircrafts is required to simulate the demanded collision scenario.


Please sign in to download the files of this thesis.