Dual-output automotive navigation unit has sensor-based spoofing detection

The NEO-M9L navigation modules and M9140-KA-DR chip have been introduced by u-blox. They are built on the company’s M9 GNSS platform and use dead reckoning techniques to provide accurate position data when satellite signals are compromised or unavailable, says u-blox.

The NEO-M9L-20A and NEO-M9L-01A modules, and the M9140-KA-DR chip are specially designed for first-mount automotive designs. The modules and the chip are all automotive grade, with the NEO-M9L-01A offering an extended operational temperature range up to 105 degrees C, making it suitable for integration on the roof, behind the windscreen, or the hot conditions inside electronics control units (ECUs). Applications include integrated navigation systems, for example in-vehicle infotainment (IVI) and head units, integrated telematics control units (TCU), and vehicle to everything (V2X).

The modules include six-axis inertial measurement units (IMUs) which deliver low-latency 100Hz raw data output. The modules offer a low-latency 50Hz position update rate, for use in real-time applications. The automotive dead reckoning (ADR) output  combines the GNSS fix with IMU data for accurate positioning output. Additional GNSS-only output enables seamless integration into third-party applications. The receiver also supports wake-on-motion, which enables smart features such as theft protection and power-efficient designs, explains u-blox.

The modules offer sensor-based spoofing detection for advanced security and robustness. The chip offers protection against possible GNSS signal spoofing, which can cause navigation systems to report faulty position data or time.

“Availability and trustworthiness of position output are increased by using concurrent reception of four GNSS constellations,” says Aravinthan Athmanathan, product manager, product centre positioning at u-blox.

All the module variants comply with AEC-Q104, the latest standard for ensuring the reliability of modules used in automotive applications. Engineering samples and the evaluation kits will be available by the end of September 2021.

u‑blox specialises in positioning and wireless communication in automotive, industrial, and consumer markets. The company has a broad portfolio of chips, modules, and secure data services and connectivity. It has headquarters in Thalwil, Switzerland.

http://www.ublox.com

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TI redefines microcontroller with x10 higher processing capability

For real-time control, networking and analytics applications at the edge, Sitara AM2x microcontrollers can help engineers can achieve 10 times the computing capability of traditional, flash-based microcontrollers, says Texas Instruments (TI). The microcontrollers can be used in factory automation, robotics, automotive systems and sustainable energy management where fast, accurate microcontrollers at the edge deliver more power-efficient processing to distributed systems for industry 4.0.

The Sitara AM2x microcontrollers are built around Arm cores. TI offers single and multi-core devices running at speeds up to 1.0GHz with integrated peripherals and accelerators.

The AM243x microcontrollers are the first family of devices available in the AM2x portfolio. They have up to four Arm Cortex-R5F cores, each running up to 800MHz, which meets the high processing speed critical in factory equipment such as robotics. Fast computations coupled with the microcontroller’s internal memory enhance a robot’s precision of motion and speed of movement, translating to higher productivity, says TI. The additional processing capability enables designers to add analytics for functions such as predictive maintenance, reducing downtime on factory floors. In typical applications, AM243x devices consume less than 1.0W of active power, enabling factory operators to extend their power resources, lowering operating costs and the site’s energy footprint.

Sitara AM243x microcontrollers integrate sensing and actuation peripherals to enable low-latency real-time processing and control for factory automation as well as communications accelerators to simplify industrial networking. Engineers can leverage certified protocol stacks available directly from TI to support, for example, EtherNet/IP, EtherCAT, ProfiNet, and IO-Link Master to meet evolving industrial communication standards. On-chip security and integrated functional safety mechanisms, diagnostics and collateral help enable system integrators to target up to Safety Integrity Level (SIL) 3 of the IEC 61508 standard.

TI has also created the Sitara AM243x LaunchPad development kit. The evaluation tool, combined with the Sitara MCU+ software framework can be used by developers to assess the precision real-time control and networking capabilities in the AM243x. Developers also have access to application-specific reference examples, a strong ecosystem of tools and software, and the MCU+ Academy training portal to help them streamline designs and accelerate time to market.

Pre-production versions of the AM2431, AM2432 and AM2434 in a 17 x 17 or 11 x 11mm package are now available. The AM243x LaunchPad Development Kit is also available.

http://www.ti.com

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Fanless edge AI system uses Jetson AGX Xavier for autonomous AI

Artificial intelligence (AI) -powered autonomous machines can be realised with the AIE900-902-FL fanless edge AI system, says Axiomtek.

According to Axiomtek, the AIE900-902-FL is an edge AI computing system for advanced AI-powered autonomous machine applications. It is based on Nvidia’s Jetson AGX Xavier platform which has an eight-core Nvidia Carmel Aem v8.2 (64-bit) processor and 512-core Nvidia Volta graphics processing unit (GPU) with 64 Tensor cores. The AI system has four PoE ports and two LAN ports for 3D lidar and high-speed intelligent video surveillance applications. The AIE900-902-FL is designed for use in 3D vision guided robots, autonomous mobile robots (AMRs), intelligent video analytics, domain-focused robot assistants, intelligent roadside units.

The AIE900-902-FL has a ruggediszed design for harsh environments, allowing it to operate under a wide temperature range from -30 to +50 degrees C and vibration of up to 3G rms. It is housed in a compact enclosure. Despite its size, the AIE900-902-FL comes with a 32Gbyte 256-bit LPDDR 4x onboard and has one M.2 Key M 2280 SSD slot with a PCIe x4 NVMe interface, one Micro SD slot and one 2.5 inch SSD/HDD drive bay for massive data processing and AI applications.

The embedded system has one full-size PCI Express Mini Card slot (USB + PCI Express signal), one M.2 Key E 2230 slot and one SIM slot for 3G/4G, GPS, Wi-Fi and Bluetooth connections. To reduce the effort and shorten the deployment process, the Nvidia JetPack is pre-installed on the edge AI system for quick development. The AIE900-902-FL is certified to CE and FCC Class A.

The AIE900-902-FL offers multiple I/O options including two lockable HDMI 2.0 ports with 4k2k supported, two 10/100/1000 Mbits per second Ethernet (Intel i210-IT), four 10/100/1000 Mbits per second PoE (Intel i210-IT), two USB 3.1 Gen2 ports, two USB 3.1 Gen1 ports, two USB 2.0 ports, one Micro USB port, one 8-CH DIO, two RS-232 default (or two CAN by jumper settings) and four SMA-type antenna openings. There are eight LED indicators showing for power / storage / LAN / PoE active status alert. There is also a recovery switch and one 24V DC power input connector.

The AIE900-902-FL will be available for purchase in September 2021.

http://www.axiomtek.com 

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Renesas processors and Winbond memory accelerate AI development

Winbond Electronics has confirmed that its HyperRAM and SpiStack (NOR+NAND) can be operated with Renesas Electronics’ RZ/A2M Arm-based microprocessors to develop flexible AI and imaging processing applications.

Renesas’ RZ/A2M microprocessor is suitable for human machine interface (HMI) applications, especially those with cameras. It supports Mobile Industry Processor Interface (MIPI), the camera interface which is widely used in mobile devices. It is also equipped with a dynamically reconfigurable processor (DRP) for high speed image processing. The RZ/A2M can provide and safe and secure high speed network connection for image recognition in a wide range of applications from consumer electronics to industrial equipment, says Winbond. The RZ/A2M also features two Ethernet channels and it can enhance security functions with a cryptographic hardware accelerator.

Winbond’s HyperRAM is suitable for embedded AI and image processing for classification, in which the electronics circuit needs to be made as small as possible, while providing sufficient storage and data bandwidth to support compute-intensive workloads such as image recognition, explains the company. SpiStack allows designers to store code in the NOR die and data in the NAND die with smallest form factor, claims the company. It can store the boot code and application code for the RZ/A2M on the NOR side while multiple large-sized data, such as learning data for embedded AI and camera images, can be stored on the NAND side.

HyperRAM can operate at a maximum frequency of 200MHz and provide a maximum data transfer rate of 400Mbytes per second with either 3.3 or 1.8V operation voltage. It also offers low power consumption in operating and hybrid sleep modes, says Winbond, citing the 64Mbit HyperRAM standby power consumption of 70 microW at 1.8V at room temperature, and 35 microW consumption at 1.8V in hybrid sleep mode. The 13 signal pins can simplify PCB layout design, says Winbond and allows microprocessors to  have more pins out for other purposes or allows designers to choose microprocessors with fewer pins.

Winbond’s SpiStack (NOR+NAND) is formed by stacking a NOR die and a NAND die into one package, such as a 64Mbit serial NOR with a 1Gbit QspiNAND die. This allows designers the flexibility to store code in the NOR die and data in the NAND die. SpiStack with NOR+NAND has only six signal pins, regardless of the number of stacked dies. The active die is switched by a simple software die selection command (C2h) with a factory-assigned die ID number. The clock rate can be up to 104MHz, an equivalent of 416MHz under quad-SPI, says Winbond. SpiStack (NOR+NAND) also supports concurrent operation, i.e. one of the dies could program/erase while the other die could program/erase/read at the same and vice versa.

Shigeki Kato, vice president of the Enterprise Infrastructure business division at Renesas, said: “As embedded AI systems become more sophisticated and complex, the use of RZ/A2M with external memory can support the increasing data size of application code or trained models”.

Naoki Mimura, general manager of marketing & FAE at Winbond Japan, added: “By adopting Winbond’s HyperRAM and SpiStack (NOR+NAND), it is possible to reduce the mounting area of memory on the PCB, the number of wires, and the BoM cost”.

Both package sizes measure 8.0 x 6.0mm, there are 13 signals for HyperRAM and six signals for SpiStack (NOR+NAND). Compared to conventional SDRAM and parallel NOR/NAND, both of the package size and the number of terminals have been reduced by around 80 per cent, reports Windbond.

http://www.winbond.com

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