Organizers	Stefanie Manzinger, Markus Koschi, Silvia Magdici, Bastian Schürmann, Prof. Dr.-Ing. Matthias Althoff
Module
Type	Master Practical Course
Semester	WS 2017/2018
ECTS	10.0
SWS	6
Registration	Matching system

News

• The preliminary lecture will be held on Wednesday, 12.07.2017, from 09:00 to 10:00 in MI 01.10.011

Description

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.

Prerequisites

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:

• Motion planning
• Dynamics
• Python

Projects

Project	Advisor	Slide
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

Material

• General information: Slides of the preliminary lecture