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The research work of the Department of Communication Technology at the University of Kassel focuses on innovative technologies and applications that address societal challenges in the areas of mobility, health, e-learning, digital work, smart cities and the future of the internet. A particular focus is on the development and use of context-based applications, supported by artificial intelligence (AI) and improved mobile experiences.

Key research areas

1. Road safety for vulnerable road users (VRUs):
   • Researching solutions to improve the safety of pedestrians, cyclists and other vulnerable road users.
   • Analysis of IMU (Inertial Measurement Unit) data to detect physical activities such as turning, starting and stopping.
   • Development of AI-supported algorithms to predict movements and improve traffic infrastructure
2. Interactive user interfaces for smart cities:
   • Development of innovative interfaces for interacting with smart urban objects, such as traffic lights, tourist attractions or environmental sensors.
   • Integration of augmented reality (AR) and virtual reality (VR) for immersive and intuitive user experiences.
3. Application of AI and improved algorithms:
   • Optimization of AI methods to increase efficiency and scalability in various application areas.
   • Use of context-based systems that can understand and react to human behavior and environmental factors in real time.
   • Use of AI in the Hessian craft sector, such as a butcher's shop, to monitor and improve production processes (example: "Ahle Wurscht meets AI").
4. Mobility and networked systems:
   • Research into networked communication systems that enable safe and efficient mobility.
   • Integration of sensors and IoT technologies to improve urban infrastructure.

Core technological aspects

• Artificial intelligence: Development and implementation of advanced algorithms for a wide range of applications, including traffic safety and smart cities. This also includes participation in hessian.AI.
• AR/VR technologies: Creating immersive virtual environments and augmented realities that facilitate interactions with smart objects and data.
• Sensor integration: Use of IMU, camera and environmental sensors for data acquisition and real-time processing.