EduXchange.EU

Autonomous Vehicles

MET0310
Computer Science and ICT, Data, AI

About this course

The concept of autonomous vehicles and application fields. Requirements for infrastructure in different environments (public room, traffic, closed areas, industry, inside and outside conditions). Legal aspects and laws in different environments. Social aspects. Platforms and technologies of autonomous vehicles. Sub-systems and communication. Selection of sub-systems and design of autonomous vehicle. Development of autonomous vehicle as a member of team.

NB! This course will take place in spring semester 2024/2025 which starts on 3rd of February and ends on 16th of June (you can find that information under Start date section). The real course start and end dates will be announced at the beginning of February at the latest.

Learning outcomes

After completing this course the student:

  • knows the concept and application fields of autonomous vehicles;
  • knows the required infrastructure and social-legal environment;
  • is able to design a concept of autonomous vehicle on the level of sub-systems;
  • has a practical experience of developing an autonomous vehicle as a part of team.

Examination

Final assessment can consist of one test/assignment or several smaller assignments completed during the whole course. After declaring a course the student can re-sit the exam/assessment once. Assessment can be graded or non-graded. For specific information about the assessment process please get in touch with the contact person of this course. For specific information about grade transfer please contact your home university

Course requirements

Programming in Python at basic level, Familiar with Linux environment, Access to Ubuntu powered computer (min CPU 8 cores, 16GB RAM) with admin rights (must be able to run docker container in it).

Resources

  • - Markus Maurer and J. Christian Gerdes, Autonomous Driving: Technical, Legal and Social Aspects, 2016, ISBN: 978-3662488454
  • - Hong Cheng, Autonomous Intelligent Vehicles: Theory, Algorithms, and Implementation, 2011, ISBN: 978-1447122791

Activities

lectures, practices

Additional information

  • Credits
    ECTS 6
  • Level
    Bachelor
  • Contact hours per week
    4
  • Instructors
    Raivo Sell
  • Mode of instruction
    Hybrid
If anything remains unclear, please check the FAQ of TalTech (Estonia).

Offering(s)

  • Start date

    3 February 2025

    • Ends
      16 June 2025
    • Term *
      Spring semester 2025
    • Instruction language
      English
    • Register between
      29 Oct - 29 Nov 2024
    Enrolment open
    Apply now
These offerings are valid for students of TU/e (The Netherlands)