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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Asset management pinpoints vehicles for inventory tracking

Enhancing productivity in the automotive industry, Silicon Labs and Cognosos have collaborated to develop a wireless networking device to improve managing inventories.

Built on the Silicon Labs Flex Gecko system-on-a-chip (SoC), the Cognosos RadioTrax) tag enables employees to perform quick online searches or use their smartphones to pinpoint the location and movement history of cars stored in distributed car parks, increasing productivity and saving time.

Organisations with large inventories are frequently required to locate cars at a moment’s notice for maintenance, test drives or auctions. Large operations manage thousands of cars and often have multiple parking locations, creating a tracking challenge that can slow down business operations.

“Cognosos identified a time-intensive problem within the automotive industry and applied new IoT technology to create a superior experience for business operators,” said Ross Sabolcik, vice president and general manager of IoT products at Silicon Labs. “The Flex Gecko wireless SoC helped reduce the size, cost and complexity of the RadioTrax tag,” he added.

The end user uses a smartphone application to scan the RadioTrax tag and associates it by scanning the car’s VIN or stock number. The vehicle quickly shows up on a digital map, along with instructions on how to reach it. The Cognosos RadioTrax tag is secured to the visor or rear-view mirror of every car and transmits a sub-GHz radio message using patented wireless technology. The RF device includes an accelerometer to detect motion whenever the car is moved. Unlike previous RFID alternatives requiring extensive infrastructure and only showing the last known location of a car, RadioTrax displays the car’s real-time location.

Jim Stratigos, co-founder and CTO of Geo IoT platform provider, Cognosos, said: “The Flex Gecko SoC enabled us to pack more wireless and processing functionality into our device while using less power.”

Cognosos’ RadioCloud platform enables enterprises to deploy value-creating services with greater reliability and at a fraction of the cost of competing approaches.

Silicon Labs provides silicon and software for a smarter, more connected world, serving the IoT, internet infrastructure, industrial automation, consumer and automotive markets.

http://www.silabs.com

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