In the project “EVA-Shuttle”, interconnected and autonomously driving mini buses are being developed to connect the last mile from the bus stop to your front door. The project consortium tests a new offer in local public transport services in order to provide users with more possibilities and comfort in the future.
The aim of the research project is the development of a public transport mobility concept, which should be tested through a system-wide fleet testing under real life conditions on the Test Area Autonomous Driving Baden-Württemberg (TAF BW).

Further information can be found at: http://www.eva-shuttle.de/

Awards and prizes

The project "EVA-Shuttle" was awarded with the innovation award NEO2018 as the most innovative, under real-life conditions tested idea for future quarters 2018.

More Information

Contact person

Daniel Grimm (M.Sc.)

Wissenschaftlicher Mitarbeiter



Daniel Grimm studierte bis 2019 Maschinenbau am Karlsruher Institut für Technologie (KIT). Seine Schwerpunkte während des Masterstudiums lagen auf kognitiven Systemen und Mechatronik. Seine Masterarbeit "Multi-Pedestrian Prediction using Deep Learning" führte er am Institut für Mess- und Regelungstechnik durch.

Seit Juni 2019 ist Daniel Grimm als wissenschaftlicher Mitarbeiter am FZI Forschungszentrum Informatik in der Abteilung Technisch Kognitive Systeme (TKS) tätig.


Phone: +49 721 9654-372
E-Mail: daniel.grimm@dont-want-spam.fzi.de

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