Fraunhofer Institute for Transportation and Infrastructure Systems IVI
Fraunhofer Institute for Transportation and Infrastructure Systems IVI

Safely automated

...by wayside infrastructure monitoring and V2X communication

© KI-generiert | Fraunhofer IVI

Fraunhofer Application Center "Connected Mobility and Infrastructure"

The Fraunhofer Application Center "Connected Mobility and Infrastructure" focuses on current and future topics of automated and cooperative driving. By means of roadside protection systems and a high-performance car-2-infrastructure communication, safety risks of partially and fully automated traffic flows should be reduced and overall traffic become more efficient.

Diverse competences in the fields of sensor technology, communication and artificial intelligence are combined, fostering synergies with Technische Hochschule Ingolstadt (THI) as well as local industry, and aiming for close cooperation with the city of Ingolstadt and its partners. 

Existing research infrastructures at THI and Fraunhofer IVI as well as the planned IN2LAB urban test field for intelligent mobility  in Ingolstadt will serve as a basis for the application center.

Plans for the coming years include the development of further technology fields in the areas of autonomous systems, digitalization of transport as well as vehicle and road safety.

Application Fields

Infrastructure assistance for traffic safety

  • Cooperative environment perception
  • Vehicle and infrastructure data fusion
  • Interaction with vulnerable road users

Traffic control and management

  • Optimization of traffic flows
  • Cooperative maneuvers
  • Traffic and accident data analytics

Monitoring of vehicle and infrastructure functions

  • Measurement systems for condition monitoring
  • Sensor monitoring, detection of defective functions and re-calibration
  • Life cycle prognosis
© Kadmy | Adobe Stock

Urban Air Mobility and autonomous flight

  • AI-based environmental and situational awareness
  • Intelligent trajectory planning
  • Mission-AI and autopilot

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Selected Projects

MEDIC

Having medication available in hospitals and being able to ship lab samples and blood bags quickly is a logistics problem that could be solved with the help of drones. 

The goal of the MEDIC project is to develop an operating and flight guidance system for a single-rotor drone that enables intelligent flight control and autonomous landing in both drone hubs and unknown terrain.

 

Advanced air space mapping

ADAM

Whether logistics drones, air taxis or rescue and surveillance systems – the requirements for flight safety in the urban air mobility (UAM) section are particularly high, regardless of the respective application.

The ADAM ("Advanced Air Space Mapping") project plans to improve environment perseption in lower airspace with the help of new mapping methods to enhance the safety of autonomous flying in urban settings.

ADAM at LinkedIn

IDEALS

The routes of future transportation networks will run through logistics hubs equipped with vertiports in which the air freight is loaded into autonomous drones. The vertiports' limited capacity represents a bottleneck in terms of high drone density in their airspace. As a preliminary study, the IDEALS investigated cooperative coordination in intelligent networks of multiple, heterogeneous and autonomous transport drones for take-off and landing procedures at the vertiports of logistics centers.

DISRUPT

DISRUPT is short for "Decentralized Intelligent System for Road User Prediction and Tracking". Two major tasks within the project are the development of connected, decentralized tracking algorithms and the prediction of traffic participants.

 

 

 

 

 

 

More Information (in german) 

 

KonSensData

Within the scope of the project, a mobile sensor unit has been developed. This sensor unit acquires and analyzes data, thus providing the basis for intelligent infrastructure and enabling the integration of infrastructure data in traffic and risk analyses for connected mobility.

 

IoT-COMMs "Smart Intersection"

The Smart Intersection cooperative environment perception system gives support for the fast detection and, simultaneously, for the correct assessment of traffic situations required for autonomous driving.

 

Ingolstadt Innovation Lab - IN2Lab

The most important project objectives include the development of infrastructure sensors for environment perception, V2X communication technologies for networking vehicles, infrastructure and backends, as well as a mission control system for monitoring and control purposes.

5GoIng

In the 5GoIng project, the region is consolidating its numerous competencies in the field of innovative mobility and creating an open development and demonstration platform for 5G applications. The focus is on "connected mobility". With its model character, the concept is also intended to serve as a rolemodel for other regions.

 

 

 

 

More Information

 

 

 

 

Weitere Informationen

News

 

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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© THI

More safety and sustainability in road traffic thanks to 5G technology

At the final event of the BMDV-funded 5GoIng project, which was launched in December 2021, the project partners presented the results of their research. They gave an impressive demonstration of how vehicles and traffic infrastructure can communicate in real time and warn road users of dangers at an early stage. The project developed innovations such as 5G-controlled LED lighting, which can increase the safety of crosswalks, and a new dashboard for live traffic analysis. 5GoIng also created a digital test field that is available as a platform for testing and further developing new mobility technologies.

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© Fraunhofer IVI

Investigation of weather effects on the detection of road users

The partners of the WETTER project have made significant progress toward establishing safe automated driving in Smart Cities. Together they examined the effects of weather conditions on LiDAR-based measurement systems. While LiDAR sensors are crucial for detecting road users, they are sensitive to fog and precipitation. To better understand and mitigate these challenges, various measurement sensors were combined in a mobile roadside unit at the IN2Lab in Ingolstadt, enabling fully automated long-term measurement and data collection .

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For our diverse research projects, we are constantly seeking qualified scientists to join us, as well as motivated students who wish to complete an internship or write their thesis with us.

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