Master thesis: Efficient 3-D Topology and Trajectory of UAV Swarm using AI
We are looking for dedicated master’s students to join us in the Connected Intelligence Unit at RISE.
The Connected Intelligence Unit is part of RISE Computer Science in Kista. The current research focus is on edge computing, 5G/6G networks, and immersive media systems. Among the group's key technologies are the IoT network and UAV networks. The unit conducts projects together with industry and academic partners from Sweden and across the world.
Unknown environment poses challenges to UAVs in ascertaining obstacles during flying. Furthermore, trajectory and UAV swarm topology affect the lifetime of these networks. The focus of this project is to devise efficient UAV swarm network topology and trajectory in an unknown environment using artificial intelligence and image/ video processing.
- Start Time: As soon as possible
- Scope: 30 hp
- Location: RISE Computer Science, Kista, Stockholm
Who are you?
We expect you to have good programming skills and knowledge of UAV networks and image/video processing. An interest in machine learning models and artificial intelligence is also a prerequisite.
Welcome with your application!
If this sounds interesting and you would like to know more, please contact Chetna Singhal (email: email@example.com). Applications should include a brief personal letter, CV, and recent grades. Candidates are encouraged to send in their application as soon as possible but at the latest on the 15th of January 2022. Suitable applicants will be interviewed as applications are received. We do not accept applications via email.
Our union representatives are Lazaros Tsantaridis, SACO, 010 516 62 21 and Bertil Svensson, Unionen, 010-516 53 56.
Master thesis, UAV network, Topology, Trajectory, UAV network, UAV Swarm, Artificial intelligence, unknown environment, RISE, Stockholm
Student - examensarbete/praktik
2023-01-15Skicka in din ansökan