Foundations of Autonomous Vehicles (Lecture)
| Lecturer (assistant) |
Johannes Betz [L]
|
|---|---|
| Number | 0000000287 |
| Type | lecture |
| Duration | 2 SWS |
| Term | Summer semester 2026 |
| Language of instruction | Deutsch |
| Position within curricula | See TUMonline |
| Dates | See TUMonline |
Admission information
Description
The lecture covers the basic concepts and principles underlying the development and operation of autonomous vehicles. Numerous variants and applications of autonomous vehicles are highlighted, in the context of the lecture we focus on autonomous road vehicles. Overall, the lecture provides a broad overview of the major concepts and technologies driving the development of autonomous vehicles and their impact on society.
In the lecture, we learn about the hardware components used in autonomous vehicles, such as sensors, actuators, and computing platforms. We teach in the lecture the fundamental problems that need to be solved for the development of autonomous vehicles, such as environment perception, localization, path planning, decision making, and control. We then discuss the software modules used to control the behavior of autonomous vehicles. In addition, we cover the use of simulations in the development and testing of autonomous vehicles, as well as the legal and ethical considerations that must be taken into account when deploying autonomous vehicles in the real world. The lecture will conclude with a discussion of current research and development trends in autonomous vehicles and possible future developments.
In the lecture, we learn about the hardware components used in autonomous vehicles, such as sensors, actuators, and computing platforms. We teach in the lecture the fundamental problems that need to be solved for the development of autonomous vehicles, such as environment perception, localization, path planning, decision making, and control. We then discuss the software modules used to control the behavior of autonomous vehicles. In addition, we cover the use of simulations in the development and testing of autonomous vehicles, as well as the legal and ethical considerations that must be taken into account when deploying autonomous vehicles in the real world. The lecture will conclude with a discussion of current research and development trends in autonomous vehicles and possible future developments.
Prerequisites
No content prerequisites are required.
Teaching and learning methods
In the lecture, the teaching content is conveyed by means of lecture and presentation (Power Point). In the process, more complex issues are derived and illustrated using a tablet PC. During the lecture, explicit questions are posed that expect a transfer performance from the students and in which the students are given the opportunity to speak up and discuss a possible solution. In this way, the challenging tasks of autonomous driving are to be deepened and the transfer to the application of hardware and software to various other applications (e.g. robots in agriculture) is to be achieved.
Also explained in the lecture are simple situational examples that must be solved by autonomous vehicles. These example tasks can be actively solved by the students. These examples are primarily in the area of road vehicles (e.g. street intersection in the city center), which subsequently enables the students to analyze and evaluate further problems of other autonomous systems (e.g. robots in agriculture).
A weekly office hour is offered for answering questions about the individual appointments and homework, which can be attended in presence or online (announcement of the appointment via Moodle).
Also explained in the lecture are simple situational examples that must be solved by autonomous vehicles. These example tasks can be actively solved by the students. These examples are primarily in the area of road vehicles (e.g. street intersection in the city center), which subsequently enables the students to analyze and evaluate further problems of other autonomous systems (e.g. robots in agriculture).
A weekly office hour is offered for answering questions about the individual appointments and homework, which can be attended in presence or online (announcement of the appointment via Moodle).