STADT:up – Solutions and Technologies for Automated Driving in Town: an urban mobility project

Problem statement

The STADT:up project develops user-tailored concepts and pilot applications for fully automated driving in urban areas. The focus is on implementing new, AI-based methods and demonstrating them in automated driving systems, particularly in complex traffic situations. Special attention is paid to vulnerable road users, complex intersections, and automated merging and obstacle avoidance.

Project goal

STADT:up aims to develop seamless, scalable solutions for future urban mobility:

The vehicles must be able to safely handle even complex inner-city traffic scenarios. The solutions are based on individual mobility needs and demonstrate the integration of multimodal mobility. With a view to realistic perspectives on future urban mobility, suitable future concepts are developed and requirements are derived from user needs.

Implementation and results

The project considers the entire chain of effects: perception, fusion, localization, environmental modeling, prediction, interaction, and cooperation, culminating in behavioral and maneuver planning. Its objectives are the recognition of dynamic and static environments, the delineation and handling of ambiguity in these two categories, and highly available, robust, and adaptive trajectory planning based on multimodal prediction of all road users. The project also includes a differentiated analysis of the interaction and communication concepts between users, vehicles, and other road users during automated driving. This includes examining the situation-dependent adaptability of operating concepts as well as the situation- and experience-dependent changes in user behavior.

In addition, concepts and perspectives for future intermodal mobility are being developed, involving all stakeholders: cities, users, research institutions, and the automotive industry. Of central importance is the question of how mixed traffic, comprising pedestrians, cyclists, privately or shared vehicles, and public transport, will develop in the future. Possible influences are considered, such as a strengthening of regionality and the development of local city centers, changes in infrastructure, or the changing mobility behavior of users, e.g., through home office or a growing awareness of energy and resources.

consortium

project partners are

3D Mapping Solutions GmbH, Aptiv Services Deutschland GmbH, AVL Deutschland GmbH, Bundesanstalt für Straßenwesen, CARIAD SE, Continental Automotive Technologies GmbH, Continental Autonomous Mobility Germany GmbH, DeepScenario GmbH, DENSO ADAS Engineering Services GmbH, Deutsches Zentrum für Luft- und Raumfahrt e.V., Ergosign GmbH, gestigon GmbH, HELLA GmbH & Co. KGaA, Hochschule für angewandte Wissenschaften München, Mercedes-Benz AG, Opel Automobile GmbH, Robert Bosch GmbH, Technische Universität Chemnitz, Technische Universität Darmstadt, Technische Universität München – Lehrstuhl für Verkehrstechnik, Valeo Schalter und Sensoren GmbH, ZF Friedrichshafen AG