Air Surveillance for Airport Safety

Purpose and goal

The project goal is to develop and demonstrate drone solutions for automatic airport surveillance to support the future autonomous airports. The aim is to through demonstration showcase the potential of drones at the airports. The project has developed drone systems and has successfully demonstrated at the Vinnova demo days. The project will also participate in LFV’s demonstration of autonomous airports from the surveillance perspective. The applications have received positive feedback from the testing airport and have raised awareness from other airports.

Expected results and effects

The project has developed two big surveillance drones for airport demonstration and a small drone for test and development. A cloud communication platform is built for drone control and management. A simulation environment is built for machine learning. In addition to the test airport, the project has talked with other Swedish airports to collect requirements and opinions of drones at the airports. A joint demonstration is under preparation for LFV demo of autonomous airports. The results showcase the potential, raise the awareness and pave the foundation for further development.

Planned approach and implementation

The results are achieved through close interaction among research, development and airport stakeholders. Major development is done at Flypulse which has supported the growth of the small company. Research has been focused on machine learning especially reinforcement learning. Requirement analysis is done together with the demo airport OER through workshops and frequent interactions. In addition, the project also collected information from other airports through a questionnaire, telephone interviews, as well as visits to identify the use cases and challenges.

External links

Projekt pressrelease Projektwebsidan hos Flypulse Projektwebsidan hos RISE