Intelligent Connectivity

Intelligent Connectivity: Reliably Networked Networking matters: The basis for the Internet of Things is a reliable, secure and increasingly wireless network. Different, mostly mobile devices and components are networked, large amounts of data are transported quickly, safely and inexpensively – privately and in companies. We examine the quality of networks and distributed systems, plan and develop sophisticated and reliable communication solutions as well as their monitoring and management. So that things get safely online – trustworthy and reliable. Technologies & Methods:

  • Software-defined networking & virtualization of network functions
  • Modeling, measuring and monitoring of complex communication systems
  • Artificial intelligence for communication networks

Innovation & Value Creation

Value Creation: Added Value Through Innovation Data-driven innovations are changing the economy and society. They help solve problems, increase efficiency and develop new products and services. The Internet of Things, low-cost sensor technology, the generation of “digital natives” and a sustainable lifestyle are important drivers of innovation. We use effective methods to examine operational success factors, added value and strategies for IoT-based innovations for companies in different market segments. We support companies in the analysis of innovation potential and the selection, implementation and evaluation of innovative projects and business models. Technologies & Methods:

  • Potential analyzes and methodical support for innovation projects
  • Data-based product and service innovations
  • Network and platform based business models

Mobility & Transport Analytics

Mobility & Transport Analytics: Optimized Mobility of People and Goods Understanding which movements take place where and how is a key prerequisite for optimizing personal and goods mobility. Through intelligent analysis processes, multi-sensor fusion, map matching or routing for high-precision maps as well as real-time processing, analysis and interpretation of high-resolution driving trajectories, we open up the potential of movement data – for optimized fleet control, traffic control or evaluation of infrastructure measures. Technologies & Methods:

  • Technologies for high-resolution movement data acquisition
  • Complex procedures for offline and real-time motion data analysis based on scalable data platforms
  • Interactive, web-based visualization of movement patterns (dashboards)

Processing Platforms

Processing Platforms: Intelligent Architectures Connected vehicles, drones, robots – more and more devices and technologies are entering our lives: many of these processes require the digital tracking of things that move from A to B. To do this, we work together with our partners to develop intelligent, cyber-physical environments: federated internet platforms, software architectures and technology for digital twins that are in sync with their physical counterparts – safely and without misunderstandings. Technologies & Methods:

  • Modeling, controlling and optimizing industrial processes with digital twins
  • Internet platform technologies for ecosystems along value chains
  • Design and development of scalable data streaming and analysis systems

Human Motion Analytics

Human Motion Analytics: User-Centered Movement Data Analytics Movement is an omnipresent aspect of our lives and an essential component of innovations in the health, sports and fitness sectors. We analyze movement data from a variety of data sources. Using methods from signal processing, statistics and machine learning, we evaluate the data quality, identify movement patterns and develop models. This detailed knowledge of the quality of movement enables novel applications for users – ot increase health, performance, safety or the joy of movement. Technologies & Methods:

  • Technologies for the detection of human movement
  • Data analysis and development of algorithms for evaluating the quality of movement
  • Prototype development for effect measurement of interventions as well as safe and sustainable (research) data management)