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Navigation technologies for autonomous systems

Individual course

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

Responsible teacher

University of Vaasa
Heidi Kuusniemi, Professor

Further information about the course and studying

University of Vaasa
FITech contact person Vaasa

Contact person for applications

FITech Network University
Fanny Qvickström, Student services specialist
Start here
Start here
Topics:
5G technology,
Wireless technology
Course code:
ICAT3250
Study credits:
5 ECTS
Price:
0 €
Course level:
Teaching period:
10.2.–20.3.2025
Application start date:
13.11.2024
Application deadline:
27.1.2025
Host university:
University of Vaasa
Who can apply:
Adult learner
Teaching method:
Online
Teaching language:
English
General prerequisites:
Some expertise in symbolic computation and numerical calculation methods.
Course suitable for:
People who need to understand localisation and positioning technologies.
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