NAVIGATION TECHNOLOGIES FOR AUTONOMOUS SYSTEMS

Have you ever wondered how self-driving vehicles know where they are and where they should go? Various positioning and localisation techniques are needed for increasingly autonomous systems. The course “Navigation Technologies for Autonomous Systems” brings you an understanding about different navigation technologies essential for the positioning, guidance and control tasks of autonomous systems on land, sea and in the air.

Navigation Technologies for Autonomous Systems

The course Navigation Technologies for Autonomous Systems 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 emphasized. After introducing the technologies, mathematical models, sensor fusion approaches and related simulation techniques are included. You 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 you get to experiment with relevant data.

The course includes lectures, self-study, guided exercises, independent exercises and an exam.

Introduction to International Business 3 ECTS

Timetable:

*Time zone: Europe/Helsinki*

10 Feb 2025 08.00-10.00

12 Feb 2025 10.00-12.00

17 Feb 2025 08.00-10.00

19 Feb 2025 10.00-12.00

20 Feb 2025 12.00-14.00

25 Feb 2025 10.00-12.00

26 Feb 2025 10.00-12.00

27 Feb 2025 12.00-14.00

3 Mar 2025 14.00-16.00

4 Mar 2025 12.00-14.00

6 Mar 2025 14.00-16.00

10 Mar 2025 12.00-14.00

12 Mar 2025 08.00-10.00

13 Mar 2025 14.00-16.00

17 Mar 2025 12.00-14.00

19 Mar 2025 10.00-12.00

20 Mar 2025 12.00-14.00

  • EUNICE master’s degree student: enrolled as a master’s degree student in one of the universities of EUNICE European University consortium (check universities here).
    • PhD students can also join, but only if their supervisor accepts.
  • B2 level of English.

Study Level: Master, PhD

  • Submit your application via the button ‘Apply Now’.
  • Please keep in mind that the number of participants could be limited for each course. Application does not guarantee enrolment in the course.
  • The course participants will be selected based on criteria specified in the study guide.
  • Your home university will inform you whether you have been accepted and provide further information about the next steps.

Specific instructions in some universities:

  • BTU students: for questions about enrolment and recognition at your university, you can visit this website.
  • UPHF students: make sure to ask the approval of your director of studies (responsable pédagogique) before applying. For any question, you can contact the EUNICE office: eunice@uphf.fr.
  • UoP students: questions about enrolment and recognition can be answered by your Director of Studies or ECTS Coordinator, or you can contact eunice@go.uop.gr.

Any questions about enrolment or credit recognition? Contact your EUNICE course coordinator.

Apply now

Navigate the future: master the technologies for autonomous mobility!

Study Level
Master, PhD
Applications deadline
15 January 2025
Dates
10 February - 20 March, 2025

*Time zone: Europe/Helsinki*

10 Feb 2025 08.00-10.00

12 Feb 2025 10.00-12.00

17 Feb 2025 08.00-10.00

19 Feb 2025 10.00-12.00

20 Feb 2025 12.00-14.00

25 Feb 2025 10.00-12.00

26 Feb 2025 10.00-12.00

27 Feb 2025 12.00-14.00

3 Mar 2025 14.00-16.00

4 Mar 2025 12.00-14.00

6 Mar 2025 14.00-16.00

10 Mar 2025 12.00-14.00

12 Mar 2025 08.00-10.00

13 Mar 2025 14.00-16.00

17 Mar 2025 12.00-14.00

19 Mar 2025 10.00-12.00

20 Mar 2025 12.00-14.00

Accreditation
5 ECTS
Mode
Online live