Solutions and technologies for automated driving in town:
an urban mobility project

22 partners
Timeline: January 2023 – December 2025

Research contents

The project considers the entire signal processing chain: perception, fusion, localisation, environment model, prediction, interaction and cooperation up to behaviour and manoeuvre planning. The goals are the perception of dynamic and static environments and the delineation and treatment of fuzziness in these two categories as well as highly available robust and adaptive trajectory planning based on multimodal prediction of all road users. The project also takes a differentiated look at the interaction and communication concepts between users, the vehicle and other road users in automated driving. The situation-dependent adaptivity of operating concepts as well as the situation- and experience-dependent change in user behaviour will be examined.

In addition, concepts and perspectives for future intermodal mobility will be developed, involving all stakeholders: Cities, users, research institutions and the automotive industry. Of central importance is the question of how the mixed traffic of pedestrians, cyclists, privately or jointly used vehicles and public transport will develop in the future. Possible influences such as a strengthening of regionality and the development of local city centres, the change in infrastructure or the changing mobility behaviour of users, e.g. due to home office or a growing awareness of energy and resources, are considered.