@City – Automated vehicles and intelligent urban transport

consortium

The project sponsor is TÜV Rheinland Consulting GmbH.

Project partners are:

Audi AG, Daimler AG, Continental Safety Engineering International GmbH, Continental Teves AG & Co. oHG, Delphi Deutschland GmbH, Robert Bosch GmbH, Valeo Switches and Sensors GmbH, ZF TRW – TRW Automotive GmbH, 3D Mapping Solutions GmbH, and the Chair of Traffic Engineering (Technical University of Munich).

situation

The particular challenges in urban environments lie in environmental perception and interpretation, especially in situational understanding. Due to the complexity of urban traffic patterns, significantly more precise recognition is required compared to well-structured environments such as highways. A wide variety of intersections and roundabouts further complicates situational understanding. The automated vehicle must precisely locate itself on a highly accurate map. Only the combination of environmental interpretation and localization, coupled with a broad database, enables adaptive and predictive situational understanding. Reliable situational understanding, in turn, is the foundation for all automated driving functions in urban environments.

Goals

The project therefore focuses on high-performance, robust algorithms for situational awareness, the design of automation, and the optimal integration of the driver. Building on this foundation, new automated driving functions are being developed for urban environments, offering the driver the highest possible level of support even in complex urban environments with their high information density and very short reaction times – also in cooperation with surrounding road users. These automated driving functions will be demonstrated in pilot applications, for example, at dynamic bottlenecks caused by buses at stops or by turning cyclists.