Virtual Vehicle

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Continuous overall vehicle development by means of sw/hw integration 09.06.2016

Together with its partners AVL, Porsche and IVD the VIRTUAL VEHICLE is researching new methods of...

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Smart Mobility from Graz: Connected and automated driving with a green heart 07.06.2016

The development in the automotive industry is taking big steps towards connection and automation:...

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Available from July: New book on Automated Driving 22.04.2016

Automated driving from the viewpoint of academia and from industrial perspective: A new book,...

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Comfortable Driving and „Green Wave“ guaranteed!? 18.04.2016

Park distance control, lane change assistant, and automatic distance warning: Driver assistance...

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VIRTUAL VEHICLE division manager represents Austria in international standardization group 01.04.2016

Dr. Werner Rom, division manager at VIRTUAL VEHICLE, was nominated by the Austrian Standards...

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VIRTUAL VEHICLE Research Center

VIRTUAL VEHICLE is an internationally operating research center that develops technologies for affordable, safe and environmentally friendly vehicles for road and rail.


With over 200 employees, we collaborate with more than 100 domestic and international partners from science and industry. The key aspects of our expertise include connecting numeric simulation and experimental verification, as well as developing a comprehensive, full-vehicle system simulation. The COMET K2 program will provide the basis for funded research activities until at least the end of 2017. An extensive involvement in EU projects and a broad portfolio of commissioned research and services round out our activities.

Further Information

Innovation Award 2014: FRIDA by VIRTUAL VEHICLE

 

 

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IAV 2016 - 9th IFAC Symposium on Intelligent...

29.06. – 01.07.2016 | The Symposium targets topics in the field of intelligent autonomous vehicles (IAV). It presents methods and representative...

Industrial Analytics & Big Data in der...

27. – 28.09.2016 - Top-Level-Akteure der OEMs und Zulieferer zeigen auf, wie in einem industriellen Umfeld große Datenmengen verarbeitet werden,...

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