Project

REACT

Autonomous Driving: Modeling, learning and simulation environment for pedestrian behavior in critical traffic situations

Autonomous Driving: Modeling, learning and simulation environment for pedestrian behavior in critical traffic situations

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REACT is considered to be a strategically important project for the ASR department; the content is also a core topic in the Autonomous Driving Competence Center (CCAD). The overall goal of REACT is a systematic, safe and validatable approach to the development, training and use of digital reality to achieve safe and reliable action by autonomous systems, especially in critical situations. For this purpose, methods and concepts of machine learning - in particular deep learning and (deep) reinforcement learning (RL) - are used to learn low-dimensional submodels of the real world. In this way, a suitably wide range of existing critical situations should be recorded and identified so that they can be simulated in virtual space. Using this digital reality, the otherwise missing sensor data for critical situations can then be virtually synthesized and used to train the autonomous systems and vehicles for the safe and reliable handling of critical situations. The ultimate goal of the project is to systematically validate and constantly improve the capabilities of autonomous systems through continuous alignment with reality and the necessary adaptation of models.

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Publications about the project

Erik Herrmann, Han Du, Noshaba Cheema, Janis Sprenger, Somayeh Hosseini, Klaus Fischer, Philipp Slusallek

In: Stephen N. Spencer, Sheldon Andrews, Natalya Tatarchuk (editor). Proceedings of the ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games. ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games (I3D-2019) May 21-23 Montreal QC Canada Pages 12-1 I3D '19 ISBN 978-1-4503-6310-5 ACM New York, NY, USA 5/2019.

To the publication
Florian Pusse, Matthias Klusch

In: 30th IEEE International Intelligent Vehicle Symposium (IV 2019). IEEE Intelligent Vehicles Symposium (IV-19) June 9-12 Paris France IEEE Press 2019.

To the publication
Han Du, Erik Herrmann, Janis Sprenger, Noshaba Cheema, Somayeh Hosseini, Klaus Fischer, Philipp Slusallek

In: Paolo Cignoni, Eder Miguel (editor). Eurographics2019. Eurographics (EG-2019) May 6-10 Genova Italy The Eurographics Association 2019.

To the publication

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz