Thesis work: Autonomous Anti-drone Defence System
In the last couple of years, commercial drone sales have almost quintupled and are pro-
jected to increase, this coupled together with components needed to build a
drone becoming more and more easy to use (Plug and Play) as well as becoming
more available to the general public implies that in today’s age nearly everyone
who wants to own and ﬂy a drone can do so. Civilian drones and Unmanned
Aerial Vehicles (UAV) are not a problem in themselves, it’s when a drone oper-
ator decides (knowingly or unknowingly) to unlawfully enter restricted airspace
of an airport for example when a drone can pose major threat to aircraft. If
a drone enters restricted airspace of an airport, the closure of said airspace is
imminent as to avoid collision between the drone and aircraft which can result in loss
of human life. Such incidents are happening regularly.
Current methods airports use for drone defence includes but are not exclusive
to jamming drone signals, shooting a net at them in hope of taking the drone
down and using high energy weapons such as lasers and microwaves. Unfortu-
nately, the biggest cause for concern is collateral damage from using said defence
measures as well as legal consequences.
Saab believe that there is a current need for a highly precise “anti-drone
defence system” with high accuracy that is safe and secure to use in airport
Description of master thesis
SAAB propose a system consisting of two parts. First part will be used for
detection of drones and the second part will be used for payload delivery. The
payload delivery will use data from the ﬁrst part for calculating trajectories and
estimated impact times. The system will accurately and autonomously detect
drones from the data gathered by cameras and IR-sensor(s)/laser together with
a neural network. Can a fault tolerant method be developed for detecting drones and esti-
mating their position by using stereo-vision coupled with an IR-sensor/laser?
This project is suitable for you that will conduct your master thesis within the engineering field of automation, simulation, electrical or data engineering. Preferably you have experience within programming and system simulation, skills within machine learning or Artificial Intelligence is highly requested.
The work shall preferably be conducted at SAAB Dynamics in Karlskoga.
Peter Andersson, Chef
If you aspire to help create and innovate whilst developing yourself in a challenging team setting, Saab may well have the perfect conditions for you to grow. We pride ourselves on a nurturing environment, where everyone is different yet we share the same goal – to help protect people.