Infineon claims Hall sensor is a first for ASIL D systems

Infineon Technologies believes that the Xensiv TLE499913 is the industry’s first monolithically integrated linear Hall sensor developed entirely according to the safety standard ISO26262 for automotive applications.

The single sensor enables the development of fault-tolerant systems that have to meet the highest level of functional safety (ASIL D), says Infineon, such as electric steering systems, electric throttle control systems, and pedal applications.

ISO26262 requires a system to keep functioning even if a single fault occurs, or a single components fails. The TLE4999I3 allows uninterrupted operation at system level. It consists of a monolithic design with two independent Hall elements. Their signal paths are separate from each other and internal control mechanisms carry out a plausibility check of the sensor data already within the chip. The linear Hall sensor also provides extensive status information to the system.

In addition to functional safety, the TLE4999I3 also offers very high magnetic sensitivity with an error tolerance of less than two per cent. The offset error drift, another important parameter for magnetic sensors as it determines the absolute position in a magnetic field, is maximum 100 microT, or half that of comparable products, claims Infineon. The values of these parameters apply across the entire temperature range and lifetime of the product.

The TLE4999I3 allows two magnetic ranges of ±12.5 and 25mT to be adjusted. These low values allow the use of relatively small and, consequently, inexpensive magnets.

A PSI5 communication interface is a current interface, requiring little wiring and offering “an excellent electromagnetic performance” according to Infineon. The TLE4999I3 is suitable for applications in which it is connected to the control unit over large distances as it supports cable lengths up to 12m.

The TLE4999I3 sensor is supplied in a PG-SSO-3 package and is qualified according to AECQ100, Grade 0 for use in applications with ambient temperatures of 150 degrees C during average operational conditions.

Infineon will be exhibiting this and other sensor solutions at the Sensor+Test 2019 trade fair (Nuremberg, 25 to 27 June 2019) Hall 1 – booth 429.

http://www.infineon.com

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Smart mobility: Ukrainian city of Vinnitsa selects CIPURSE™ for transit ticketing

The city of Vinnitsa, Ukraine, is implementing a new, state-of-the art system for automated fare collection based on the CIPURSE™ open security standard. Infineon Technologies AG has been selected as sole supplier of the security chips to be embedded into 200,000 transportation cards for the city’s trams and busses. The cards will be issued from summer 2019 onwards.

The project is led by the municipal company Vinnitsa Card Service. Infineon is providing the CIPURSE security chips to be embedded into the cards. The hardware equipment for the terminals is being sourced from Mikroelektronika from the Czech Republic while Symbol Systems from Ukraine is responsible for software integration.

In a next step, the city of Vinnitsa will introduce social cards which combine transport ticketing with payment functionality. As part of the Ukrainian government’s roadmap towards a digital economy and society, similar projects have already been implemented in Ukraine. Local banks in the city of Zhitomir, for example, are issuing multi-application cards with CIPURSE-based security chips from Infineon.

Seamless and convenient solutions for public transportation

Population growth and continued urbanization are placing a growing strain on the environment. Public transportation is one of the key livability factors in a modern, smart city, extending beyond the obvious bus and train options to include services such as car-sharing and bike rentals. At the UITP Global Public Transport Summit in Stockholm, 9-12 June 2019, Infineon will be exhibiting transit ticketing solutions for seamless and convenient mobility

CIPURSE is an internationally supported, non-proprietary security standard for transport ticketing and access solutions. The specifications are managed by the OSPT Alliance. The truly open standard is highly flexible, supporting cards and tickets while also providing guidance for multi-purpose solutions. It is also supported in smartphones and therefore offers a convenient alternative to contactless tickets. Furthermore, providing future-proof security architectures based on Advanced Encryption Standard (AES) 128-bit key length, CIPURSE eliminates the fraud problems that tend to compromise existing proprietary systems.

More information is available at www.infineon.com/cipurse

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Siemens integrates the u-blox ZED-F9K module into its V2X test fleet

The ZED-F9K turnkey solution minimizes the effort required to achieve decimeter-level positioning accuracy in automotive applications.

Thalwil, Switzerland – June 7, 2019 – u-blox (SIX:UBXN), a global provider of leading positioning and wireless communication technologies for the automotive, industrial, and consumer markets, is announcing that Siemens has integrated the u‑blox ZED-F9K (https://www.u-blox.com/en/product/zed-f9k-module) high precision dead reckoning module into its Toyota Prius V2X (vehicle-to-everything) test fleet. Siemens carried out live demonstrations of the technology at the ITS European Congress 2019 (https://2019.itsineurope.com/) in Eindhoven, the Netherlands.

As the only available source of absolute position, satellite-based positioning plays a crucial role in advanced driver automation systems and driverless vehicles. The same is true in V2X communication, in which vehicles continuously share their location and other information with other traffic participants – cars and pedestrians – as well as surrounding infrastructure,  improving road safety and reducing traffic congestion.

V2X test vehicles typically determine their position using high-end, expensive GNSS (Global Navigation Satellite Systems) receivers. While these provide highly accurate position information, they fail to realistically represent the hardware that will be deployed in vehicles produced for the mass market. By opting to use the ZED-F9K turnkey solution for high precision dead reckoning, Siemens was able to align the performance of their test fleet with real world conditions while also reducing the cost and the engineering effort required to develop their vehicles.

“We’ve had a very positive experience with u-blox’s ZED-F9K high precision dead reckoning solution. The product delivered strongly from the initial design-in to the data and performance in our first tests,” says Igor Passchier, Engineering fellow, Connected and Automated Driving at Siemens PLM Software. “It underscores the reputation of u‑blox as a trusted innovator in GNSS technology.”

“Our collaboration with Siemens shows the extent to which the ZED-F9K turnkey solution saves OEMs time, cost, and engineering effort while providing decimeter-level positioning performance,” says Alex Ngi, Product Strategy for Dead Reckoning, Product Center Positioning, u-blox. “For us, it has also been a welcome opportunity to contribute to solving the challenges in the autonomous driving ecosystem.”

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Quick-start software to develop embedded ADAS

Software has been developed specifically to use the hardware accelerators in Renesas Electronics’ R-Car V3H SoC for advanced driver assistance systems (ADAS) in automotive design.

To accelerate the development of ADAS, the Perception Quick Start software,  based on the R-Car V3H SoC delivers reference software for camera obstacle detection (COD), lidar obstacle detection (LOD), and road feature detection (RFD), deemed as three key recognition areas for sensor-based Level 2+ autonomous vehicle systems.

The COD reference software uses convolutional neural network (CNN) IP, a computer vision engine (CV-E), and image rendering (IMR) technology to detect 2D objects such as cars, trucks, buses, and pedestrians. It achieves approximately 30 frames per second.

The LOD software uses CNN-IP and CV-E to detect 3D objects, including cars and trucks. The LOD achieves approximately 15 frames per second with 3D bounding boxes at 50m.

The RFD reference software uses CNN-IP, CV-E, IMR, and a versatile pipeline engine (IMP) to identify drivable free space, lanes (crossable and uncrossable), road boundaries, and distances to lanes and nearest objects to support NCAP 2020. The RFD achieves approximately 30 frames per second.

The R-Car V3H SoCs deliver a combination of high computer vision performance and artificial intelligence (AI) processing at low power levels, for automotive front cameras in Level 2+ autonomous vehicles. To advance recognition technology, Renesas designed the SoCs with dedicated hardware accelerators for key algorithms including convolutional neural networks, dense optical flow, stereo disparity, and object classification. The Perception software provides an end-to-end pipeline reference for developers working with these complex accelerators which are both cost-effective and power-efficient, thereby allowing customers to advance an application design even if they have limited experience at using the accelerators. The reference software covers input from sensor or recorded data, all stages of processing and display output on a screen.

“Specialised hardware accelerators play an essential role in achieving the computer vision performance and accuracy required in embedded ADAS and autonomy applications while still meeting stringent in-vehicle power consumption limits,” said Tim Grai, director or automotive advanced systems innovation department, Renesas. “However, the complexity of these accelerators can present a steep learning curve. With the Perception Quick Start software, we are able to offer a set of application software along with the underlying primitives to simplify the use of these complex accelerators needed to achieve embedded ADAS.”

Renesas will demonstrate the Perception software at TU-Automotive Detroit (Booth C190, 5-6 June, Novi, Michigan, USA).

http://www.renesas.com

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