Navigation, Positioning and Autonomous flightLaajuus (2 cr)

Objective

The student will be able to use positioning systems such as GPS and IMU to control the movement of drones. They will master the principles of route planning and autonomous flight programming. In addition, they will know the basics of sensor fusion and be able to analyse the performance of drones in simulation environments.

Content

1. Positioning and route planning
2. Sensors and environmental sensing

Qualifications

Navigation, positioning and autonomous flight (2 ECTS) requires a basic understanding of drone design and operation. Students should know the basics of navigation and positioning and understand the role of sensors in autonomous operations.

Assessment criteria, satisfactory (1)

The student
• understands the basics of drone positioning and can plan a simple route.
• knows the sensors of drones and can use them in basic applications.

Assessment criteria, good (3)

The student
• can apply GPS, IMU and sensor fusion to autonomous flight management.
• be able to analyse sensor data and use it to observe the environment.

Assessment criteria, excellent (5)

The student
• be able to plan and optimise the positioning of drones in challenging environments.
• be able to combine sensor data and artificial intelligence methods to develop autonomous drone applications.

Assessment criteria, approved/failed

Navigation, positioning and autonomous flight (2 ECTS) is passed if the student is able to plan a drone route and use positioning systems, as well as analyse and apply sensor fusion in autonomous flight. Approved performance requires the completion of simulation exercises and related reporting. Failure means that the student cannot apply positioning and route planning methods, cannot analyse sensor data and does not successfully complete the simulation exercises.

Further information

Navigation, positioning and autonomous flight (2 ECTS) includes theory, exercises and simulations in which the student designs and tests the positioning and autonomous movement of drones. Exercises will be conducted in programming environments simulating sensor fusion and path planning.