Technische Universität München Robotics and Embedded Systems

Motion Planning for Autonomous Vehicles

Organizers Stefanie Manzinger, Markus Koschi, Silvia Magdici, Bastian Schürmann, Prof. Dr.-Ing. Matthias Althoff
Type Master Practical Course
Semester WS 2017/2018
ECTS 10.0
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This course aims to introduce you to current problems in the field of autonomous driving. You will work as part of a team on a project throughout the semester. The project includes literature research, implementation of a motion planning algorithm in Python, test case generation and evaluation. This course does not consist of weekly lectures, but irregular meetings throughout the semester.


You should be self-motivated, creative, and able to work as part of a team. Preferably, you have experience with one or more of the following:


Project Advisor SlideSorted descending
Motion Planning with Guaranteed Safety Using Maneuver Automata Bastian Schürmann slide
Optimization with Expensive Cost Functions for Safe Maneuver Automata Bastian Schürmann slide
Randomized Kinodynamic Planning Markus Koschi slide
Motion Planning Using Continuous Optimization Stefanie Manzinger slide