SPP 1835:  Kooperativ interagierende Automobile

• Subject Area: Computer Science, Systems and Electrical Engineering ; Geosciences ; Mathematics ; Medicine ; Social and Behavioural Sciences
• Term: from 2015 to 2022
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 255645177

This priority programme gathers an interdisciplinary group of scientists to develop a system-theoretical framework for cooperative traffic involving automated automobiles. Each project of the SPP investigates methods for cooperation between road users including at least one automated vehicle.The Priority Programme focuses on the following topics:a) Cooperative Perception: For information retrieval cooperatively interacting automobiles not only consider the sensor information onboard the vehicle but also analyze communicated information from sensors of other automobiles. For full use of the information in this "telematic horizon of perception" robust fusion methods are investigated that consider the individual quality of the information due to latencies, spatio-temporal uncertainties, and possibly cyclic information flows. b) Situation Prediction: Based on the perception of the current traffic situation the future behavior and trajectories of other traffic participants shall be predicted. This topic involves methods to anticipate the movement of people and other vehicles as well as methods ensuring that others may anticipate one’s own behavior. c) Cooperative Maneuver and Trajectory Planning: Based on the perceived and predicted traffic scenes planning strategies for cooperative trajectories shall be investigated. The planning process involves implicit or explicit negotiations on different courses of action, aimed at optimizing a holistic and common quality criterion. d) Data and Information Base: Cooperatively interacting automobiles aggregate their knowledge in a collective data and information base and provide this information to the traffic community. The SPP primarily seeks to acquire information that may directly influence tactical behavior decisions (eg, inference of semantic information about local traffic rules and conditions) as contrasted to mainly geometric information acquired by traditional SLAM approaches. e) System Ergonomics: In order to make scientific progress for the benefit of humans, studies on the interaction between drivers and passengers with automated vehicles are important so that humans accept automated behavior and modify it when necessary. f) Cross-cutting Issues of Cooperatively Interacting Automobiles: The priority programme shall provide holistic contributions to the field. The include the imposture of metrics for information quality, cognitive performance, and trajectory safety.

• DFG Programme: Priority Programmes

Projects

• AutoKnigge - Modelling, Evaluation and Validation of Behavior for Cooperative Interacting Vehicles (Applicants Eckstein, Lutz ;  Kowalewski, Stefan ;  Rumpe, Bernhard )
• Complexity in cooperative traffic situations: Discrete-event modeling in automated vehicle guidance (Applicants Deml, Barbara ;  Heizmann, Michael )
• Comprehension and decision based modeling of cooperation behavior between drivers in dynamic traffic situations and its methodological foundations - CoMove (Applicants Baumann, Martin ;  Jipp, Meike )
• Cooperative and Intrinsically-Correct Control of Vehicles in Diverse Environments (CoInCiDE) (Applicants Althoff, Matthias ;  Köster, Frank ;  Stursberg, Olaf )
• Cooperative crowd mapping for interconnected autonomous vehicles (Applicants Brenner, Claus ;  Lauer, Martin )
• Cooperative interaction with cyclists in automated driving – KIRa (Applicants Krems, Josef F. ;  Mößner, Ph.D., Klaus )
• Coordination Funds (Applicant Stiller, Christoph )
• Detecting Intentions of Vulnerable Road Users Based on Collective Intelligence as a Basis for Automated Driving (Applicants Doll, Konrad ;  Fuchs, Erich ;  Sick, Bernhard )
• Extension of Multi-Object-Tracking supporting Cooperative Perception (Applicant Dietmayer, Klaus )
• GROKO-Plan: GRaph-based, Optimal and COoperative Trajectory planning for Interacting Automobiles (Applicants Alrifaee, Bassam ;  Flaßkamp, Kathrin )
• KOALA2 - cooperative interacting vehicles with low latency communication (Applicants Facchi, Christian ;  Festag, Andreas )
• Learning Cooperative Trajectories in Mixed Traffic (Applicants Burgard, Wolfram ;  Stiller, Christoph )
• Resilience Evaluation of Recognition and Planning Approaches in Cooperative Interacting Vehicles with Respect to Unexpected Disturbances (RESIST) (Applicant Bringmann, Oliver )
• Situation assessment and semantic maneuver planning under consideration of uncertainties for cooperative vehicles in heterogeneous traffic scenarios (Applicant Zöllner, J. Marius )
• SWARMS: Swarm Intelligence for Autonomous Cars (Applicant Rojas, Raúl )
• Systemergonomics for cooperative interacting vehicles (2nd Phase): Transparency of automation behaviour and intervention possibilities of the human during normal operation, at system limits and during system failure (Applicant Flemisch, Frank O. )

• Spokesperson: Professor Dr.-Ing. Christoph Stiller