Self-learning transport system – SeLeTraSys
Project Management:
- Prof. Dr.-Ing. Harald Bachem & Prof. Dr.-Ing. Bernd Lichte
Project Duration: 01.08.2018 - 31.07.2021
Federeal States Funding:
- European Regional Development Fund (ERDF)
Funding Amount: 295.866 €
Faculty: Faculty of Automotive Engineering
Institute: Institut für Fahrzeugbau
Research Areas:
- Digitization and Industry 4.0
- Intelligent Systems for Energy and Mobility
Summary:
Driverless transport systems are meanwhile quite commonplace in goods production environments, where they facilitate internal material planning operations relating to components and semi-finished goods. The operational organisation of the logistics is highly automated and regulated by computer software, while human industrial truck drivers are replaced by an electronic vehicle controller.
The purpose of the research project is to design and realise a transport system that operates without physical auxiliary components, using semi or full automation. The project primarily focuses on sensor requirement analysis and the subsequent fusing of data from individual sensors to create an overall data model of the environment. The digital map thus compiled by the process not only reflects the geometry of the environment but also indicates obstacles and areas with a high pedestrian density. The information can be used to adapt the route taken by each individual transport vehicle, thus ensuring the flow of transport while substantially reducing the danger of collision with pedestrians.
