Navigation technologies for autonomous systems

Max amount of FITech students: 50 adult learners

The course starts with going through the various applications where navigation technologies are utilised in autonomous systems followed by going through the different navigation technologies and their pros and cons in details.

Autonomous systems need to have means to typically answer the questions:

• Where am I?
• What is around me?
• Where is my destination?
• What is the best way to reach my destination while avoiding local obstacles?

And the technologies that can answer these will be introduced. In addition to details of the technologies, also their security and privacy are discussed about.

Course contents

After introducing the technologies, mathematical models, sensor fusion approaches and related simulation techniques are included. Students will also learn about open source software packages relevant for navigation technologies in autonomous systems. Finally, everything introduced will be brought to practical applications with case studies where students get to experiment with relevant data.

Learning outcomes

After having passed the course you

• have learned about all the various navigation technologies applicable for autonomous systems
• can apply information about the technologies to assess their safety as well as ethics.

Course material

Lecture notes and material to be announced. The course uses navigation technologies applicable for autonomous systems.

Teaching schedule

• Lectures 2 x 2 x 6 h = 24 h
• Exercises, guided 12 h
• Self-study 40 h
• Independent exercise work 40 h
• Exam + preparation 19 h

Schedule will be published later in Peppi (University of Vaasa study guide).

Completion methods

Exercise work and exam.

More information in the University of Vaasa study guide.

You can get a digital badge after completing this course.

5G-teknologia, tietoturva, etiikka