inf331 - Automated and Connected Driving (Course overview)

inf331 - Automated and Connected Driving (Course overview)

Department of Computing Science 6 KP
Module components Semester courses Examination
Lecture
  • No access 2.01.331 - Show lecturers
    • Prof. Dr. Frank Köster
    • Gerald Sauter
    • Dr. Nils Müllner

    Dates on Thursday, 20.10.2022 - Friday, 21.10.2022, Thursday, 17.11.2022 - Friday, 18.11.2022 10:15 - 15:45, Friday, 02.12.2022 13:15 - ...(more)
Exercises
  • No access 2.01.331 - Show lecturers
    • Prof. Dr. Frank Köster
    • Gerald Sauter
    • Dr. Nils Müllner

    Dates on Thursday, 20.10.2022 - Friday, 21.10.2022, Thursday, 17.11.2022 - Friday, 18.11.2022 10:15 - 15:45, Friday, 02.12.2022 13:15 - ...(more)
Hinweise zum Modul
Prerequisites
useful knowledge in
- Computer Engineering,
- Embedded Systems I,
- Embedded Systems II
Prüfungszeiten
At the end of the lecture period
Module examination
Praktical work and oral exam
Skills to be acquired in this module
This module introduces the principles of automated driving.
Professional competences:
The stud The students:
  • discuss different levels of automated driving (eg. SAE-Level) and the differences
  • discuss different levels of connected driving and the differences
  • discuss core-domains of automated vehicles
  • discuss important technological pillars in the areas sense, plan, and act
  • discuss transition between different levels of automation
  • discuss the impact of connected vehicle functions on automated driving
  • discuss the impact of automated vehicle functions on connected driving
  • characterise the impact of automated and connected driving on road traffic
  • characterise the interaction of humans and automated and connected vehicles
  • design an abstract procedure for the change of different levels of automation
  • design a rough vehicle architecture for automated and connected drivingents:

Methodological competences:
The students:
  • analyze complex automated and connected vehicles (-> domains)
  • analyze core-functions of automated and connected vehicles (-> functions)

 Social competences:
The students:
  • work in teams
  • discuss their outcomes appropriately

Self-competences:
The students:
  • acknowledge the limits of their ability to cope with pressure during the analysis of complex (automated and connected) socio-technical systems