Autonomous Driving Simulation – Chair of Software Engineering

Autonomous driving is the future of individual mobility and all major manufacturers are working on fully autonomous vehicles. While there are robust and good solutions for the individual problems in autonomous driving, the main challenge lies in their integration. Altogether, an autonomous vehicle’s software is the biggest problem. Therefore, the key in self-driving vehicles is about getting the software right. Today, autonomous driving is both a vision and a reality, at least on SAE level 2 and most recently also level 3 on the SAE driving automation scale: https://www.sae.org/standards/content/j3016_202104/.

For more information about building autonomous driving systems, see our course AVAI (autonomous vehicles and artificial intelligence) or the book https://link.springer.com/book/10.1007/978-3-031-01805-3 (accessible with a RUB IP).

Carla, a driving simulator based on Unreal (source: unrealengine.com)

The goal of this project is to compare two open-source autonomous-driving platforms upon scenarios and maps you create. The latter should be related to RUB, ideally the campus. You should investigate ways of efficiently mapping the campus and build driving systems upon the autonomous-driving platforms.

In this study project you will continue work already done by past student groups and evolve the established foundation.

Further information on the current state of the project, can be found in our technical report on arXiv [TBD].

Usefull links