AI platform for autonomous cars reconfigures on the fly: Page 2 of 2

December 04, 2019 //By Christoph Hammerschmidt
AI platform for autonomous cars reconfigures on the fly
Together with partners, the Fraunhofer Institute for Integrated Circuits IIS is developing a compute platform that uses artificial intelligence to precisely capture the vehicle environment. The project is intended to make an essential contribution to the development of urgently needed technology components that make autonomous driving safe and reliable. The challenge: The platform needs to be able to react on the fly on the failure of a sensor.

The planned platform is a new development in the field of neuromorphic hardware. This functional principle is inspired by the human brain and specially designed and optimized for the efficient use of neural networks. In particular, it takes into account the fact that product cycles in the automotive sector are very long on the one hand, but that AI algorithms are developing rapidly on the other. The development goal of the project is therefore a hardware platform that can be easily and quickly adapted to new software and hardware requirements in the field of machine learning. 

Upon request, Fraunhofer IIS provided details: The hardware will be based on a flexibly programmable multi-core deep learning accelerator in the form of a specially developed chip (ASIC). This will consist of a DLI multi-core processor system optimized for image processing and a flexible DLI accelerator core with embedded reconfigurable logic. The integration of a reprogrammable logic core gives the multi-core deep learning accelerator the flexibility it needs to implement new AI algorithms in the future.

Reconfiguration of the platform is purely software-based. Within the framework of the KI-FLEX project, appropriate methods and tools will be developed to ensure the functional security of the AI algorithms in the application.

Fraunhofer IIS will lead the project consortium, which includes a number of research and industry partners such as the lidar specialist Ibeo Automotive Systems GmbH, the chip manufacturer Infineon, the processor IP developer videantis GmbH, the Chair for Robotics, Artificial Intelligence and Real-Time Systems at the Technical University of Munich, the Fraunhofer Institute for Open Communication Systems FOKUS, the Daimler Center for Automotive IT Innovations (DCAITI) at the Technical University of Berlin and the FAU university of Erlangen-Nuremberg.

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