Tulipp project signs off with comprehensive reference platform

Tulipp project signs off with comprehensive reference platform

By eeNews Europe

The project, which began in January 2016, looked to develop high performance, energy-efficient systems for vision-based image processing applications. The Tulipp project was funded with almost €4 million by Horizon 2020, a European Union research and innovation programme.

The winding up of the Tulipp project also brings the launch of a reference platform for vision-based embedded system designers, that will allow products to be developed that address the combined challenges of low power, low latency, high performance and real-time image processing. The reference platform includes a development kit, that includes an FPGA-based embedded, multicore computing board, parallel real-time operating system and development toolchain with guidelines, coupled with ‘real world’ Use Cases.

Developed by Sundance Multiprocessor Technology, the Tulipp processing platform measures 40mm x 50mm and is PC/104 compliant. The hardware platform is based around the multicore Xilinx Zynq Ultrascale+ MPSoC which contains, the Xilinx FinFET+ FPGA, an ARM Cortex-A53 quad-core CPU, an ARM Mali-400 MP2 GPU, and a real-time processing unit (RPU) containing a dual-core ARM Cortex-R5 32-bit real-time processor based on the ARM-v7R architecture. An expansion module (VITA57.1 FMC) allows application-specific boards with different flavours of input and output interfaces to be created.

A parallel, low latency embedded real-time operating system developed by Hipperos accompanies the hardware platform. It has been designed to manage complex multi-threaded embedded applications in a predictable manner. Real-time co-ordination ensures a high frame rate without missing any deadlines or data. Additionally, the Tulipp reference platform has been extended with performance analysis and power measurement features developed by Norges Teknisk-Naturvitenskapelige Universitet (NTNU) and Technische Universität Dresden (TUD) and implemented in the Tulipp STHEM toolchain.

Experts from the Tulipp Consortium have also published a set of guidelines, consisting of practical advice, best practice approaches and recommended implementation methods. These guidelines will become a TULIPP book to be published by Springer by the end of 2019. Tulipp has also developed three ‘real-world’ Use Cases in distinctly diverse application domains – medical X-ray imaging, automotive Advanced Driver Assistance Systems (ADAS) and Unmanned Aerial vehicles (UAVs).

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