dSpace partners with Microsoft Azure to develop ADAS

Customers of dSpace will have access to the data-driven development of advanced driver assistance systems (ADAS) and autonomous driving (AD) on the Microsoft cloud computing platform Azure, following the announcement that the two companies will work together to offer research and development engineers in the automotive industry an end-to-end solution that is scalable, secure, efficient, and agile.

The development of ADAS/AD functions relies on capturing large volumes of data from the vehicle perception sensors, buses, and networks, and on generating simulated scenarios to analyse the behaviour of the software, individual systems, subsystems as well as complete, integrated systems. The incoming data has to be enriched to a usable format, and it must be easy to distribute to teams working on AI-based development, data replay as well as simulation and validation tasks. This requires a powerful, flexible, and centralised data storage system, as well as a scalable and computational infrastructure with AI- and machine learning (ML) -based tools that can run seamlessly in the same environment.

Supplier to the automotive industry, dSpace offers mature and proven end-to-end solutions for ADAS/AD simulation and validation, including data logging, data enrichment, advanced simulation models, and data management software. Microsoft’s global, open, and scalable cloud platform allows businesses meet security, privacy and compliance requirements while innovation and development continues.

In this way, says dSpace, an integrated end-to-end solution for data-driven development can be achieved, allowing automotive OEMs and suppliers to focus on algorithm development.

“We combine our comprehensive and mature simulation portfolio with the highly scalable computational infrastructure of Microsoft Azure so that our customers can take full advantage of best-in-class solutions of both areas,” says Tino Schulze, executive vice president of Automated Driving & Software Solutions at dSpace.

“Collaborating with Microsoft will enable us to further expand our expertise in the areas of cloud computing and big data. Together, we will tackle the challenges of our automotive customers, supporting them in getting self-driving cars on the road faster,” explained Martin Goetzeler, CEO of dSpace.

dSpace provides solutions for developing connected, autonomous, and electrically powered vehicles. Automotive manufacturers and their suppliers use the company’s end-to-end solution range to test the software and hardware components of their new vehicles long before a new model is allowed on the road. Engineers also rely on dSpace expertise in aerospace and industrial automation. Its portfolio ranges from end-to-end solutions for simulation and validation to engineering and consulting services as well as training and support.

The company is headquartered in Paderborn, Germany and has three project centres in Germany. Customers are served through regional companies in the USA, the UK, France, Japan, China, and Croatia.

http://www.dspace.de

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Palm-sized industrial motherboard adds intelligence to machine vision

The AIMB-U233 is a palm-sized motherboard by Advantech that is targeted at smart applications. It is the first Core i platform in Advantech’s UTX family.

The small form factor design is powered by powerful 8th generation Intel Core processors (i3-8145UE / i5-8365UE / i7-8665UE). The AIMB-U233 motherboard combines high computing performance with diverse I/O ports and M.2 expansion slots for digital applications that require a small footprint, such as integrating into kiosks as well as medical and factory automation applications.

Smart factory applications require enhanced computing power integrated peripheral devices to enable machine vision and deep learning yet have limited installation spaces. The Advantech AIMB-U233 motherboard is compact (112 x 137mm) and offers four COM, four USB, two HDMI, two GbE LAN, 16-bit general purpose input/output (GPIO) and three M.2 expansion slots. The Intel Core i7-8665UE processor is particularly suitable for complex computing tasks, says Advantech.

The M.2 expansion slots allow increased functionality and flexible configuration options. The AIMB-U233 is equipped with M.2 M-key, M.2 E-key, and M.2 B-key compatibility to support diverse applications and boost computing performance. Combining the M.2 M-key interface with four-lane NVMe PCIe can increase storage read/write speeds up to 400 per cent compared to a traditional SATA 3.0 SSD. The system can automatically switch into SATA mode when a cost-effective SATA SSD is installed.

To meet the increasing demands of wireless connectivity, the M.2 E-key and M.2 B-key connectors can be used to integrate Wi-Fi/Bluetooth and 4G LTE modules and support a wide range of wireless applications. Both expansion slots can also be used for storage via a two-lane PCIE SSD (M.2 E-key) and/or SATA SSD (M.2 B-key). For machine vision applications in automated factories, the M.2 E-key connector supports the use of Advantech Movidius modules for artificial intelligence (AI) computing.

For security and to protect against cybersecurity attacks, the AIMB-U233 motherboard is equipped with TPM 2.0 to enable data security with hardware-based encryption and authentication. The provision of RAID support enables data mirroring to mitigate the impact of hardware failures.

Software options include the over the air (OTA) BIOS, offering seamless updates and a backup recovery mechanism to reduce the need for servicing by equipment technicians.

The board supports a number of Linux distributions and offers a Linux image based on Ubuntu 20.04, a part of the Windows 10 IoT.

To resolve minor computing glitches, the embedded USB controls can be used to discontinue power supply from the device. The COM ports can be configured to RS-232/422/485 mode via the BIOS, which is KVM-accessible through Intel vProtm.

http://www.advantech.eu

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Trio to develop secure automotive platform

GuardKnox, NXP and Green Hills Software have announced a partnership to develop a secure automotive platform for the next generation of vehicle architecture.

GuardKnox’s consolidated, scalable, and high-performance solutions, based on NXP’s S32G vehicle network processors and the Green Hills INTEGRITY RTOS and development tools, will make up the automotive platform for global OEMs and Tier-1 suppliers.

GuardKnox claims to be the automotive industry’s first Cybertech Tier computing supplier and has partnered with NXP Semiconductors, which provides secure vehicle network processors, and Green Hills Software, which provides real time operating systems (RTOS).

The companies will collaborate to develop a secure automotive platform targeting next generation zonal E/E architecture, enabling commercial deployment for software-defined and service-oriented vehicles.

The platform is designed for global OEMs and Tier-1 suppliers to overcome current technological challenges such as integrating the hardware and software required for delivering advanced features and functionalities for the next generation of vehicles. The unified platform targets new zonal vehicle architectures that consolidate services that have traditionally been performed by multiple, dedicated functional domain platforms. This will simplify wiring harnesses, thereby lowering vehicle weight and cost and enable scalability and enhancements through software over the air updates.

“NXP’s collaboration with GuardKnox and Green Hills addresses key challenges of the automotive industry’s dramatic shift from horsepower to compute power to drive future software-centric vehicles,” said Brian Carlson, global marketing director for Vehicle Control and Networking Solutions at NXP. “This flexible automotive platform unleashes the innovation of the S32G vehicle network processor to meet the demanding processing and networking needs of domain and zonal vehicle architectures coupled with secure, service-oriented software that’s ready to accelerate automotive OEM and Tier 1 innovations.”

Based on NXP’s S32G vehicle network processor and the Green Hills Integrity safe and secure separation kernel and secure hypervisor (Multivisor), the platform will retain GuardKnox’s mixed-criticality features of service-oriented architecture (SOA) for a consolidated, scalable, dynamic, and secure-by-design platform, says the company.

Idan Nadav, co-founder and CSO of GuardKnox, commented: “By combining NXP’s . . . processor solutions and proven software and development tools from Green Hills, we are confident that our joint dynamic platform will empower OEMs with the freedom to evolve and usher in the next era of innovative automotive solutions”.

The platform is suited for a range of new vehicle services such as in-vehicle app stores, vehicle personalisation, immersive infotainment systems and advanced driver assistance systems (ADAS). It is designed to adapt to customer needs while remaining agnostic to network topology. Its flagship is a general purpose compute element with automotive network interfaces, serving as a baseline vehicle server. It can also serve as a high performance domain controller for today’s architectures, designed to host applications, provide extra services, additional functionality, and consolidation of other external hardware.

https://www.ghs.com

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Scalable AI SMARC SoM combo targets HMI and embedded vision

Comprising 10 Renesas ICs, the scalable system-on-module (SoM) Smart Mobility ARChitecture (SMARC) Winning Combination board accelerates development of artificial intelligence (AI) IoT face/object detection, image processing, and 4K video playback applications, says Renesas. The board can be used in surveillance cameras, inspection equipment, and industrial and building automation HMI and embedded vision systems.

The 10 ICs include microprocessor (MPU), power and analog ICs. The board is based on the SMARC 2.0 industry standard, which specifies an 82 x 80mm form factor. The SMARC SoM board offers designers a choice of three different scalable versions of the Renesas 64-bit RZ/G2 MPU. Options are an RZ/G2N dual core Arm Cortex-A57 MPU operating at 1.5 GHz for mid-range performance; the RZ/G2M MPU with dual-core Arm Cortex-A57 and quad-core Arm Cortex-A53 (1.2 GHz) for high performance; and the RZ/G2H MPU with quad-core Arm Cortex-A57 and quad-core Arm Cortex-A53 for what Renesas describes as ultra-high performance. All three MPUs (two cores up to eight cores) feature integrated 600MHz PowerVR 3D graphics and a 4K UHD H.265 and H.264 codecs to satisfy the needs of different computer processing requirements.

DK Singh, director, of the Systems and Solutions team at Renesas, said: “Our scalable solution’s extensive on-board interfaces, large memory and programmable clocks for different needs makes it an excellent turnkey solution for a wide range of applications. And its industry leading RZ/G2 MPUs with 3D graphics engine and 4K UHD and full HD video codec provides higher performance per dollar than competing 64-bit MPUs and GPUs.”

The SMARC SoM offers designers their choice of RZ/G2 MPU with up to 35.6k DMIPS performance, between 2.0 and 4Gbyte LPDDR4 RAM and 32Gbyte eMMC. Each RZ/G2 MPU is capable of running edge video analytics and AI frameworks. The MPUs feature an integrated AI software library, a set of interfaces, error checking and correction (ECC) protection on both internal and external memories, Linux OS, and a Verified Linux Package (VLP) which is tested and maintained by Renesas. There is also a Civil Infrastructure Platform (CIP) Super Long-Term Support (SLTS) kernel, and a Linux kernel bundled with a software development environment. The SMARC SoM board provides an optimised power and programmable timing tree. There is also support for dual-band Wi-Fi and Bluetooth Low Energy (BLE) for wireless communication, fast communication interfaces such as USB, SATA, LVDS, HDMI, CSI, I2S, PCIe, and Gigabit Ethernet, all accessible through the SMARC 2.0 connector.

The board includes the ISL1208 low-power real time clock for calendar-based applications powered by a small 400nA battery, or supercapacitor during a power failure and the P8330 power management IC (PMIC) for delivering power to multiple supply rails.

Also included are two clock sources, Renesas’ small form factor VersaClock 3S programmable clocks with integrated 32.768kHz DCO powered by a single coin cell battery during a power failure and a PCIe clock generated with the Renesas 9FGV0641. This supports six 100MHz differential clock outputs, with PCIe Gen 1 to 4 support

There is also the option for connection to two external cameras and LCD panel with capacitive touch.

The Scalable AI SMARC SoM Winning Combo Solution board was designed by Renesas and developed through a collaboration with RelySys Technologies. The board and design files are available now.

 http://www.renesas.com

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