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ソート順:
This lecture provides an overview of the software and hardware enablement available to accelerate customer time-to-market and reduce development risks for an In-Vehicle Infotainment (IVI) system. Namely an application processor from i.MX 8 family, Ethernet Switch and PHY, Software Defined Radio and Audio processing, Audio Class-D amplifier, power management, supported by Genivi and AGL compliant BSP and integrated drivers and middleware components for these devices. In a second part, we will present the NXP eCockpit Proof of Concept, which leverages i.MX 8QM HW performances and partitioning capabilities and allows to run two concurrent and independent HLOS and a Safety Critical application (RVC, Display, Audio) on i.MX 8QM.
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Introduction and review of the latest family of Functional Safety System Basis Chips with integrated CAN FD PHY. Power Management and flexible safety features will be discussed as well as the operation and interconnection with MCUs. Also in this presentation, you’ll identify how the robustness of our design are verified in a real application environment to achieve a common goal of an excellent system reliability performance. From the ADAS to the drive train market that requires reliability, power scalability and safety, learn how our system Basis Chip solution can enable and simplify your design.
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Part 1: Artificial Intelligence with CNN and DNN. Part 2: Implementing Squeeze Net Simple CNN on S32V234. Lecture showing and analyzing SqueezeNet CNN classifier demo on S32V234. Lecture will overview the demo, development flow used to create demo and tools available to recreate similar networks.
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Introduce features and advantages of common chassis approach and differences vs current products.
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Overview of a platform solution that addresses the proliferation of Ethernet networks and enables new applications that will transform vehicles.
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Writing automotive software to process signal coming from radar frontends is not an easy job. NXP’s radarSDK helps removing complexity by providing a complete API to access hardware engines inside the SoC together with a library consisting of optimized signal processing kernels that execute on the SPT accelerator. This session introduces the audience into the programming mode of radarSDK.
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S32K based soution for smart LED drivers from Inova Semiconductor. Introduction, protocol overview, hardware and software insights.
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This session introduces the MCUXpresso suite of tools (IDE, SDK, Config Tools) and shows users how to rapidly start development with thousands of Kinetis and LPC MCUs. Using either Kinetis, LPC or i.MX RT development hardware, attendees will watch how to build a custom SDK, configure pins and clocks settings, generate a project, import and debug an application, as well as the advanced debugging capabilities of the MCUXpresso IDE, including trace, profiling, coverage, watch points and more.
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This session will address how S12 MagniV mixed-signal MCUs can help customers design more compact and cost-effective electronic control units. The S12 MagniV devices are built on proven S12 technology, enabling software and tool compatibility across the entire portfolio. With the right blend of digital programmability and high-precision analog, plus a portfolio of scalable memory options, the S12 MagniV portfolio streamlines automotive design.
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With focus on different applications, this session will highlight both the Kinetis and LPC families. We will present the new members of each family and provide you insight of what you could expect from these families going forward.
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The automotive market is moving towards electrification and autonomous driving. This trend needs ADAS electronic systems capable of making decisions. To manage the risk of operations, the development of these systems follows the highest ISO26262 Automotive Safety Integrity Level (ASIL D). All safety electronic systems require a safety microcontroller and a reliable, safe source of power management connected to the car battery: this is the System Basis Chip (SBC). Safety microcontrollers and safety system basis chips are the backbone of embedded system architectures. In this presentation, you’ll review the latest functional safety innovations at the power management level (SBC), from the development phase to system design, underscoring the link to reliability and how to enable hardware that is safety ready. A short introduction to the fault tolerant system will be also presented.
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This class will provide an overview introduction of i.MX RT series, including their key features and key peripherals. This session also explores the design and implementation of a secure boot by making use and protect against firmware attacks. Secure designs begin with a security model consisting of policies, an understanding of the threat landscape and the methods used to enforce physical and logical security. To protect firmware execution given today’s threat landscape, there must be a policy to only allow execution of authenticated firmware. The methods used to enforce this policy rely on MCU security technology to create a protected boot flow. The boot firmware can contain public key cryptography to authenticate application code.
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Deep dive training on battery management applications: Detailed feature set and hardware configuration descriptions. 1.) Short market introduction on Battery Management Systems (BMS). 2.) Overview of key application requirements (incl. 14V, 48V, HV Daisy Chain, HV CAN, Wireless). 3.) Introduction to NXP BMS New product portfolio key features, value proposition. 4.) Future BMS product outlook.
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The self driving car has a major impact on ECUs power and complexity and the network architecture connecting them together. The sheer fact that the driver is now a mere passenger with potentially limited options of taking back control raises significant functional safety questions that cannot be addressed with conventional approaches. In this presentation, we discuss how autonomous driving is impacting the functional safety requirements for automotive Ethernet switches and PHYs. We will review what functional safety for a component really means, going beyond marketing figures and ticking off feature lists. Finally, we will discuss how NXP is attacking this challenge in our current portfolio with a hint to the products to come.
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This session will cover in detail some of today's most popular IoT sensing applications such as Asset Tracking, Machine Condition Monitoring, Activity Monitoring, Keyfob, Smart Door, Smart Ball, Inhaler, HVAC, etc. This will involve showcasing NXP's demos/reference designs to explain the execution of some key applications. It will also cover low-power techniques on implementing the above applications.
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As we race through the age of ubiquitous connectivity with insatiable demand for data, the need for high-speed connectivity solutions is more evident than ever. 60 GHz or 802.11ad Wi-Fi is the new kid taking over the block - be it in homes or in offices, high density indoor or outdoor spaces, fronthaul or backhaul applications, it's everywhere! What's more is that this space is being primarily influenced by a lot of new tier 2 players who have innovative approaches to make the best use of this multi-gigabit rate spectrum. Come join NXP to learn how our SoCs are integral to furthering this ecosystem.
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You innovate to make the vehicle autonomous & the most complex node in the Internet of Things. Increasingly functionality from consumer components is needed in your solutions. NXP, the leader in Automotive and high-end compute in Networking, highlights 66 critical differences that may generically exist between automotive and consumer components. Identified by a ZVEI industry workgroup (German Association of Electronics Industry) they impact reliability, quality and lifetime of vehicles. Examples demonstrate how NXP’s capabilities across all product segments and performance ranges reduce your hidden risks providing an excellent starting point towards your autonomous vehicle.
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This session will provide a deep-dive technical session on how to develop, simulate and test machine vision algorithms with MATLAB toolsets like Computer Vision System and Image Processing on NXP S32V microprocessors. The MATLAB automatic generated code will be executed on the S32V234 SBC boards on Arm and APEX cores simultaneous to squeeze the best performance. The session will concentrate on feature detection for driver monitoring and will showcase various concepts like object detection using Viola-Jones, tracking a ROI using Kalman filters and various feature detection using Haar cascades classifiers. At the end of the session the participants will be able to develop from scratch complex algorithms for detecting various feature like: pedestrians, traffic signs, lane departure, etc. and do all these from a simple and user friendly environment like MATLAB.
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Join this session to learn about the i.MX 8/8X application processors that offer a natural migration path from the successful i.MX 6 series for industrial and automotive markets. This class will highlight the feature enhancements in CPU performance, graphics, multimedia, audio and connectivity. And will cover the basics on security, machine learning, build and distribution of Linux and Android systems, management of storage devices, graphics and demo settings. You will leave the session with the knowledge on the features of the i.MX 8/8X and how to get up and running quickly on the development boards.
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Many people involved in the electronics industry need a basic knowledge of semiconductor components in order to understand issues like manufacturing cycle time, semiconductor fab consolidation and failure analysis results. This session is geared towards a non-technical audience and gives a high-level overview of semiconductor devices and how they are made. The lecture begins with a brief overview of how semiconductor devices work. The bulk of the presentation describes the generic manufacturing flow for semiconductor devices with an emphasis on the complexity of the equipment/facilities used and the process time required.
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