Welcome to Fraunhofer IVI

At the institute’s sites in Dresden and Ingolstadt, researchers of the Fraunhofer Institute for Transportation and Infrastructure Systems IVI are developing technologies and concepts for mobility, energy, as well as safety and security – from forward-looking preliminary research to practical applications in everyday use. The institute collaborates closely with the universities TU Dresden, Otto von Guericke University of Magdeburg and Technische Hochschule Ingolstadt. Its transport-related research work ranges from the field of vehicle and propulsion systems to intelligent transport systems, and it also covers the areas of disposition, logistics and digital business processes. 

 

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News

 

Fraunhofer IVI investigates energy consumption and battery use in e-bus fleets / 9.10.2025

Optimized Battery Strategies for Public Transport

In a recent study, Fraunhofer IVI evaluated the energy consumption and charging behavior of an urban e-bus fleet over a period of more than two years. The study shows that targeted adjustments in operation and charging management can reduce energy consumption, extend battery life, and significantly lower CO₂ emissions.

 

tryING study taster course / 19.8.2025

Future Female Engineers Visit Fraunhofer IVI

The tryING study taster course at TU Dresden offers female high school graduates the opportunity to get a taste of university life, make initial contacts, and learn more about the diverse everyday work experience of engineers. As part of this program, the participants visited our institute to learn about current research projects in the field of mobility.

 

Automation of articulated bus successfully completed and demonstrated in IDEA project / 18.8.2025

Innovative depot automation for public transport

The project's aim was to combine functionalities for locating and communication in a 5G campus network to enable vehicles to be precisely located and controlled in a targeted manner. In the future, this will allow them to navigate autonomously to parking spaces, car wash spots, or charging stations – without needing drivers.

 

Better image stability in videos recorded by autonomous aerial vehicles / 14.7.2025

Stable vision from above: enhanced environment perception for autonomous flight

Aerial systems must be able to perceive their surroundings and continuously classify objects in real time. Semantic Similarity Propagation (SSP) ensures that the AI’s “understanding” of its surroundings remains consistent across multiple video frames, even when the camera is in motion. 

 

Luftfahrtsysteme müssen ihr Umfeld erkennen und die Objekte darin kontinuierlich in Echtzeit klassifizieren. Semantic Similarity Propagation (SSP) sorgt dafür, dass die »Verständnisleistung« der KI über mehrere Videoframes hinweg stabil bleibt – selbst bei stark bewegten Kameras. 

 

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