What it is about
You will learn methods and algorithms for motion and behavior planning for autonomous vehicles. By the end you will be able to create dynamic models, plan global and local trajectories, apply decision-making in uncertain scenarios, and develop suitable algorithms.
What you will be able to do
- Understand the basic principles of motion planning
- Create dynamic models of various autonomous vehicles
- Overview of methods for behavioral, global and local motion planning
- Apply mathematical and technical fundamentals
- Identify challenges of motion planning and develop solutions
- Analyze real measurement data and develop suitable algorithms
- Communicate interdisciplinary and justify decisions
- Reflect on sustainable ecological, social and economic aspects
What the module consists of
- VorlesungConveying the theoretical foundations and examples; interactive questions and transfer tasks
- ÜbungDeepening the lecture content through calculation, identification and design tasks; joint work and discussion
Teaching method
- Vortrag/PräsentationFor structured delivery of theory and illustrations of complex concepts
- Tablet-PC/DemonstrationFor derivation and visualization of complex content
- Interaktive Fragen und DiskussionPromotes transfer and practical application of what has been learned
- Übungsaufgaben und MusterlösungenFor deepening and self-check; solutions provided in writing and shared on Moodle
- Sprechstunde (präsent/online)Offer to clarify questions about appointments and tasks