Cortex processor adds to automotive IP from Arm

Designed to process multiple streams of sensor data, the Arm Cortex-A65AE has been added to the Arm Automotive Enhanced IP.

The Cortex-A65AE processor delivers enhanced multi-threading capability with integrated safety through Arm’s Split Lock technology.

The processor is optimised for 7nm processes and is Arm’s first multi-threaded processor with integrated safety for handling sensor data in autonomous and high throughput needs in in vehicle infotainment (IVI) and cockpit systems.

For autonomous driving, multiple sensor inputs allow cars to view their environment, perceive what is happening, plan possible paths ahead, and deliver commands to actuators on the determined path. As more sensors are added, the requirement for multi-threaded processing increases. With data being collected at different points of the vehicle, high data throughput capability is a key part of the heterogeneous processing mix required to enable advanced driving assistance systems (ADAS) and autonomous applications. The Cortex-A65AE manages the high throughput requirement for gathering sensor data and can be used in lock-step mode connected to accelerators, such as machine learning (ML) or computer vision, to help process the data efficiently. This has to be done with a high level of safety capability.

In addition, more autonomy and advancing driver aids will mean that drivers will be informed through augmented reality (AR) head-up-displays, alerts and improved maps. Sensors will be able to monitor eyelid movement to detect tiredness, body temperature, vital signs and behavioural patterns to personalise the in-car experience. These capabilities require high throughput, ML processing and a lot of heterogeneous compute.

This requires a heterogeneous compute cluster. The Cortex-A65AE is a throughput focused application class core with Split-Lock to enable the highest safety integrity level with leading performance and power efficiency, claims Arm.

http://www.arm.com

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Autonomous driving IP core will be demoed at CES 2019

At CES 2019 in Las Vegas (8 to 11 January 2019), AImotive will showcase its automated driving technology.  It will display aiDrive2, aiSim2, and the silicon-proven aiWare hardware IP core.

The modular self-driving software stack aiDrive will be demoed alongside aiSim2, the autonomous technology simulator running on AImotive’s purpose-built simulation engine.

Demonstrating its highway autopilot capabilities, the aiDrive2 will run on Nvidia’s Drive PX2 embedded platform. The Budapest-based AImotive aims to encourage wider collaboration in the autonomous industry by providing a modular and customisable platform for the development of automated driving systems.

The aiSim2 simulator will also be on display. The engine has proprietary hardware and the simulator runs on a single GPU and a multi-GPU set-up side by side. The ability to ensure deterministic physically-based rendering on any hardware set-up, enables aiSim2 to drastically accelerate the development of autonomous technologies while overcoming the limitations of game engine-based simulators, explains AImotive.

The aiWare test chip will be on display in Las Vegas, running AImotive’s own algorithms to prove the capabilities of the hardware IP core when implemented on silicon. Created through a partnership between AImotive, VeriSilicon and Global Foundries, the chip runs aiWare1. AImotive is currently offering the scalable aiWare2 and aiWare3 architectures to customers looking to create smart sensors or centralised AI acceleration clusters for automotive use.

Visit AImotive at CES 2019, at Tech East North Hall booth 7538

AImotive is one of the largest independent teams in the world working towards fully self-driving car technology. It addresses challenges of autonomous mobility, powered by AI, simulation technology, and supporting hardware architectures.

It has partnered with the Khronos Group to develop the Neural Network Exchange Format (NNEF), the first neural network data exchange standard to make communication easier and more reliable between AI toolsets and inference engines.

The company was granted licenses to test their self-driving vehicle fleet in Hungary, Finland and the states of California and Nevada.

http://www.aimotive.com

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Infineon introduces Optiga Trust X to secure connected IoT devices

Infineon Technologies has introduced Optiga Trust X as an open source platform that offers enhanced security for connected/IoT devices. According to Infineon, the security controller reduces integration effort and is easy to use and is designed to support customers who lack security expertise but require a fast time-to-market. The low-power devices support non-rich operating systems and is available in compact 3.0 x 3.0mm PG-USON-10-2 packages.

There are two versions available, operating in two temperature ranges. The SLS32AIA020X4 operates at the standard temperature range of -25 to +85 degrees C and, for harsh industrial environments, the SLS32AIA020X2 operates at the extended temperature range -40 to +105 degrees C.

The open source host code for Optiga Trust X and documentation is now available as open source on GitHub. Customers have a direct line of communication to developers and will immediately and directly be informed of new versions, features and bug fixes. According to Infineon, the ecosystems facilitates the integration of standard open-source crypto software libraries or the integration of the host code into other systems.

Features of the Optiga Trust X is one-way authentication using ECDSA, mutual authentication using DTLS client (IETF standard RFC 6347) and secure communications using DTLS.

It is compliant with the USB Type-C authentication standard and offers up to 10kbyte user memory.

Cryptographic support is ECC256, AES128, SHA-256, TRNG, DRNG with a cryptographic tool box based on ECC NIST P256, P384 and SHA256 (sign, verify, key generation, ECDH, session key derivation).

https://www.infineon.com

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Omnipolar Hall-effect sensors are stable over a wide operating range

Digital Hall-effect sensors from Diodes combine what the company describes as maket-leading stable operating and release points (Bop and Brp) with low power operation. The AH1911 and AH1912 sensors are both available in the industry standard SC59 package.

The AH1911 sensors will respond to either polarity of magnetic field, explains the company, and have a ‘hibernating clock’ system to reduce average current consumption to 1.6 microA at 3V supply.

The wide operating voltage range of 1.6 to 5.5V enables the parts to be used with a variety of system voltages. Operating and release points for the magnetic switch are tightly controlled over temperature and supply voltage due to a stabilising technique, delivering accurate and repeatable performance. Flux density switching points are typically ±60 Gauss (6mT) to operate and ±45 Gauss (4.5mT) to release.

Both the AH1911 and AH1921 are suitable for battery-powered devices where its low power consumption and wider operating voltage range promote extended battery life. Typical applications include medical and consumer products, tamper detection for e-meters, smoke detectors, IoT devices and general level/proximity detection.

The AH1911 and AH1921 feature push-pull and open-drain outputs, respectively. Both are specified to operate over the -40 to +85 degrees C temperature range and have a high ESD rating of 6kV (human body model).

This news story is brought to you by softei.com, the specialist site dedicated to delivering information about what’s new in the electronics industry, with daily news updates, new products and industry news.

http://www.diodes.com

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