EVA-Shuttle

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

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Career

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.

Contact

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

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