News EU Tulipp platform to ease embedded vision development effort
Embedded system designers now have a reference platform for vision- based development work, thanks to a €4m Horizon 2020 project called Tulipp, which has recently concluded. Te Tulipp project – towards
ubiquitous low-power image processing platforms – began in early 2016. Te finished reference platform includes a full development kit, comprising an FPGA-based embedded, multicore computing board, parallel real-time operating system, and development tool chain. Tis is coupled with uses covering medical x-ray imaging, driver assistance, and autonomous drones with obstacle avoidance. Developed by Sundance
Multiprocessor Technology, each instance of the Tulipp processing platform is 40 x 50mm and compliant with the PC/104
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embedded processor board standard. Te platform uses the multicore Xilinx Zynq Ultrascale+ MPSoC which contains, along with the Xilinx FinFET+ FPGA, an Arm Cortex-A53 quad-core CPU, an Arm Mali-400 MP2 GPU, and a real-time processing unit containing a dual-core Arm Cortex-R5 32-bit real-time processor based on Arm- v7R architecture. A separate expansion module
(VITA57.1 FMC) allows application- specific boards with different input and output interfaces to be created, while keeping the interfaces with the processing module consistent. Coupled with the Tulipp
hardware platform is a parallel, low latency, embedded real-time operating system developed by Hipperos to manage complex multi- threaded embedded applications. Te platform has also been
currently testing the concept. Te medical x-ray case study
the project partners undertook demonstrates image enhancement algorithms for x-ray images running at high frame rates. Te UAV case study demonstrates
extended with performance analysis and power measurement features developed by Norges Teknisk- Naturvitenskapelige Universitet (NTNU) and Technische Universität Dresden (TUD). Te consortium’s experts have
written guidelines, consisting of practical advice, best practice approaches and implementation methods, to help system designers select the optimal implementation strategy for applications. Tis will be a Tulipp book,
published by Springer later this year and supported by endorsements from the ecosystem of developers
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a real-time obstacle avoidance system for UAVs based on a stereo camera setup with cameras orientated in the direction of flight. ‘Vision-based system designers
need to know that they can simply and easily solve the design constraint challenges of low power, low latency, high performance and reliable real-time image processing that face them,’ said Philippe Millet, of Tales, and Tulipp’s project coordinator. ‘Te EU’s Tulipp project has delivered just that. Te ecosystem of stakeholders that we have created along the way will ensure that it will continue to deliver in the future.’
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Tulipp
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