SVED REAL-TIME HARDWARE ACCELERATED AI STEREO- VISION EMBEDDED SYSTEMS Advanced Safety Critical Artificial Primary Visual Cortex Prof. Fredrik Bruhn Mälardalen.

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Presentation transcript:

SVED REAL-TIME HARDWARE ACCELERATED AI STEREO- VISION EMBEDDED SYSTEMS Advanced Safety Critical Artificial Primary Visual Cortex Prof. Fredrik Bruhn Mälardalen University High end industrial artificial vision

R&D and Technical excellence in biomimetic inspired neural network implementations of primary visual cortex for image/big data analysis Automation in broad sense, safety critical applications Better quality detection of motion-in-motion, autonomous navigation

MDH and industry is developing a stereo-vision system featuring hardware accelerated artificial primary visual cortex for guidance, navigation, and control (GNC) of industrial robots, unmanned aerial vehicles, spacecraft docking, automated trucks, etc. Strong research group within AI neural networks for stereo-vision

Consortium status (in development) Available key partners and capabilities Mälardalens University (AI, Big data heterogeneous HW) Bruhnspace Group (SME, Fault tolerant Big data systems) Missing capabilities and/or partners Robotic system integrators Service vehicle manufacturer Small satellite integrators

More about us: Bruhnspace: Mälardalen University: Swedish National Space Board:

We are interested in developing this proposal: ACORDE, ES Bosch, BE Brno University of Technology, CZ CCAN, Collaborative Centre for Applied Nanotechnology, IE Delft University of Technology, NL Fraunhofer Transponder Systems, DE Fraunhofer, Application Center Smart System Integration, DE High Tech NL & partners, NL Philips, NL SELEX, ES/IT Technical University of Denmark, DK Technische Universiteit Eindhofen, NL Technische Universität Braunschweig TTTech, AT Universidad de Cantabria, ES University of Amsterdam, NL University of Eastern Finland University of Herfordshire, UK University of Turku, FI