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        Perrone Robotics “MAX” Software Platform for Autonomous Vehicles: Powered by Xilinx

        The MAX autonomous vehicle software platform enables rapid development through easy integration of sensors and control logic for self-driving operation. Zynq MPSoCs provide accelerated processing of data from LIDAR, GPS, Cameras, and others for a highly differentiated solution that is safe, scalable and real-time responsive.

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        Metoak Technology Visual Sensors for ADAS and Autonomous Driving: Powered by Xilinx – Demo Shorts

        Metoak Technology demonstrates their onboard visual sensing module for ADAS and autonomous vehicle with features such as the ability to detect the drivable zone of a vehicle in real time. The module leverages the parallel processing capabilities of Zynq SoCs to enable high performance and low latency 3D deep sensing computation.

        Kortiq Small and Efficient CNN Accelerator: Powered by Xilinx

        Kortiq provides an easy to use, scalable and small form factor CNN accelerator. The device supports all types of CNN and dynamically accelerates different layer types found in the network. The Xilinx Zynq family of SoCs and MPSoCs help Kortiq devices achieve targeted performance levels and flexibility, while being cost-effective.

        Embedded World 2017: Driver Monitoring System for Zynq - Presented by Xylon

        This demonstration shows real-time head and eyelid tracking combined with precision gaze direction measurement, allowing reliable driver attention and driver state detection under a wide range of challenging real-world conditions. Driver Monitoring System (DMS) is a critical element to a safe transition toward automated driving (AD) as it becomes imperative for AD systems to have knowledge of a driver’s ability to take back control of the vehicle as accident prevention. The Xylon DMS, enabled on the Xilinx Zynq SoC, is a mature, automotive qualified platform that provides the flexibility required to optimize system partitioning for vision processing performance at an affordable cost and relatively low power profile.