Digitization is permeating core areas of both businesses and municipalities. With the goal to create smart cities and regions, multimedia sensor systems are being installed on a large scale. By evaluating the collected data using machine learning, particularly computer vision as in the Vision2Move project, innovative applications in the mobility sector can be developed. By processing raw data, comparable to the refining of petroleum, both new opportunities and new challenges arise in the mobility domain. Particularly promising is the interlacing of different modalities of data, which is precisely the area addressed by the Vision2Move JR Center.
The merging and interlacing of individual observations of objects (e.g., vehicles, animals, people) by several sensor systems is not yet possible with satisfactory accuracy. As a result, it is not yet feasible to use machine-based traffic counting or traffic control systems at the application level.
Research on these challenges will contribute to the following areas of application: