Automotive

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

Mon, Jun 10, 2019

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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Quick-start software to develop embedded ADAS

Tue, Jun 04, 2019

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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Quick-start software to develop embedded ADAS

Tue, Jun 04, 2019

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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Farnell extends semiconductor range with Osram Opto family

Fri, May 24, 2019

LEDs, infra red emitters, photodiodes and optical sensors from Osram Opto Semiconductor have been added to the semiconductor portfolio by Farnell.

The Osram range extends Farnell’s line card to provide customers with products to support applications in markets such as automotive, mobile, smart grid, metering, industrial, office and building automation, energy management and network infrastructure.

The distributor now ships the Olson Black family of infra red LEDs. Now with dedicated automotive versions that include the 850nm version for exterior applications such as night vision, pedestrian protection, pre-field recognition and lane detection. The 940nm version is targeted at interior automotive applications such as driver monitoring, seat occupancy detection and gesture recognition. The LEDs have different wavelengths and lenses and can be operated at up to 5A in pulse mode.

There is also the SFH 2200 family of photodiodes. The package allows them to be soldered without any damage for up to one year after initial contact with air, compared to only three days for typical standard products, reports Farnell. The package is approved up to an operating temperature of 125 degrees C. The SFH 2200 devices meet the requirements for AEC-Q101-C qualification and are particularly suitable for use in rain sensors.

The TOPLED E1608 family of low-power LEDs is also in a smaller package and are particularly suited to automotive applications such as displays, ambient lighting and backlighting of switches and instruments.

Other LEDs are the SFH 4776 broadband infra red LED range. They are suitable for near-infra red spectroscopy techniques for measuring parameters such as the water, fat, sugar and protein content of food and pharmaceutical products.

The SYNIOS P2720 platform consists of 15 LED products with different chip sizes, power ratings and colours which can be configured within a single footprint. The LEDs have high thermal reliability and high brightness and the devices can be scaled for cost-effective automotive and light design.

http://www.element14.com

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