Autonomous Vehicles: Development & Simulation (ED150048)
Contact
Contact: lec.av.development.ftm@ed.tum.de
Available online
In the winter semester, the lecture is recorded as a video and can be accessed via Moodle. In the summer semester, in addition to the recorded lecture, an online discussion session will be offered each term.
Content
- Development Process
- Software Design
- Software Tools
- Distributed Systems
- Distributed Software
- Simulation
- Testing
- Safety
- Evaluation
- Teleoperation
- Case Studies
TUMonline
| Lecturer (assistant) | |
|---|---|
| Number | 0820256530 |
| Type | lecture |
| Duration | 2 SWS |
| Term | Winter semester 2026/27 |
| Language of instruction | English |
| Position within curricula | See TUMonline |
| Dates | See TUMonline |
Dates
- 05.11.2026 14:15-15:45 3502, Seminarraum
- 12.11.2026 14:15-15:45 3502, Seminarraum
- 19.11.2026 14:15-15:45 3502, Seminarraum
- 26.11.2026 14:15-15:45 3502, Seminarraum
- 10.12.2026 14:15-15:45 3502, Seminarraum
- 17.12.2026 14:15-15:45 3502, Seminarraum
- 07.01.2027 14:15-15:45 3502, Seminarraum
- 14.01.2027 14:15-15:45 3502, Seminarraum
- 21.01.2027 14:15-15:45 3502, Seminarraum
- 28.01.2027 14:15-15:45 3502, Seminarraum
- 04.02.2027 14:15-15:45 3502, Seminarraum
Admission information
Description
• Development process
• Software design, deployment, and tools
• Distributed Software Architecture
• Simulation and Testing
• Safety and Evaluation
• Teleoperated Driving
• Case Studies
• Software design, deployment, and tools
• Distributed Software Architecture
• Simulation and Testing
• Safety and Evaluation
• Teleoperated Driving
• Case Studies
Prerequisites
• Foundations of Autonomous Vehicles [ED150017]
• Attending other “Autonomous Vehicle” lectures is recommended but not a prerequisite for participation in this course.
• Basic programming knowledge is necessary for understanding the code examples and exercises.
• Attending other “Autonomous Vehicle” lectures is recommended but not a prerequisite for participation in this course.
• Basic programming knowledge is necessary for understanding the code examples and exercises.
Teaching and learning methods
- Lecture (2SWS)
- Presentations
- Presentations from Industriepartners (OEM or Tier-1)
- Exercise (1SWS)
- Presentations
- Presentations from Industriepartners (OEM or Tier-1)
- Exercise (1SWS)