Time aware shaper protocols shape in-vehicle networks

Excelfore adds time aware shaper (TAS) protocols for time sensitive networking (TSN) for automotive use.

To meet automotive requirements for deterministic network behaviour, new protocols must be added to Ethernet stacks to provide audio/video bridging (AVB) and TSN to enable Ethernet to meet the demands of in-vehicle infotainment, control and safety systems.

The Excelfore TAS protocols reside in network talkers and bridges with support for TSN enhancements including IEEE 802.1Qbv and 802.1Qci, explains Excelforce. The TAS provides a circuit-switched/ time-division-multiplexed (TDM) channel into the packet-based Ethernet network. This enables a specific time window to be guaranteed for the delivery of high priority traffic, for example for automotive control systems.

The Excelfore TAS has demonstrated the ability to reduce the variance in measured propagation delays by more than 65 per cent,% compared to Ethernet traffic without the TAS, reports Excelforce. This ensures deterministic sub-100 microsecond accuracy for time-sensitive traffic.

The Excelfore eAVB/TSN protocol stack, including the TAS protocol, is available for Linux, QNX, Integrity and Android operating systems, as well as a variety of smaller real time operating systems (RTOS). It is for use in cameras, video displays, head units, ECUs, and network gateways that bridge to CAN, LIN, and other popular automotive buses.

The TAS protocol will be demonstrated at this week’s Automotive Ethernet Congress (13 to 14 February) in Munich, Germany.

Excelfore provides cloud platform and connectivity applications for intelligent transportation. It provides middleware solutions for smart mobility networks that enable OEMs and suppliers to build the next generation of smart, autonomous and learning vehicles, fleets and associated infrastructure. In addition to the eAVB/TSN protocol stack, it provides the cloud-to-vehicle eSync system for over the air updates, diagnostics and telematics.

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Qualcomm and Green Hills Software Team Up to Deliver Advanced Platforms for Next-Generation Automotive Cockpits

Companies Offer High Performance Solutions to Support Safe and Secure Consolidation of Android and Linux-based Infotainment with Safety-Critical Applications

Green Hills Software, the worldwide leader in embedded safety and security, and Qualcomm Technologies, Inc., a subsidiary of Qualcomm Incorporated (NASDAQ: QCOM), announced today their efforts to support global automakers and Tier-1 suppliers with purpose-built, scalable solutions, designed to support a safe, secure consolidation of Android and Linux-based infotainment processing with critical ASIL-certified vehicle services into a single multicore-based electronic control unit (ECU). As a part of the relationship, Green Hills is working with Qualcomm Technologies to feature the Green Hills INTEGRITY®real-time operating system (RTOS), INTEGRITY Multivisor™ secure virtualization, and integrated MULTI® ASIL D-qualified software development environment as part of the new Qualcomm® Snapdragon Automotive Cockpit Platforms. Designed with a focus on production-readiness and consolidation of diverse safety and security requirements, customers can quickly and confidently design, develop and deploy these high performance, complex next-generation automotive systems.

Green Hills Software’s INTEGRITY RTOS and Multivisor virtualization solutions are the certified software foundation that safely and securely combine open-source Linux and Android infotainment environments with critical vehicle functions such as vehicle gateways, instrument clusters, telltales, advanced driver-assistance systems (ADAS) and heads-up displays (HUD), which in many cases, require adherence and certification to the ISO 26262 automotive safety standards.

Snapdragon Automotive Cockpit Platforms

The Snapdragon Automotive Cockpit Platforms are the third-generation automotive platforms from Qualcomm Technologies. Designed to support future intelligent automotive cockpits to meet rich intuitive user experiences and stringent automotive industry standards, the third-generation Snapdragon Automotive Cockpit Platforms are engineered with immersive graphics, multimedia, computer vision and artificial intelligence capabilities and feature truly heterogeneous computing capabilities, leveraging the multicore Qualcomm® Artificial Intelligence (AI) Engine, Qualcomm Spectra Image Signal Processor (ISP), fourth generation Qualcomm® Kryo Central Processing Units (CPU), Qualcomm® Hexagon™ DSP and sixth-generation Qualcomm® Adreno™ Visual Subsystem. The Snapdragon Automotive Cockpit Platforms also feature the Qualcomm® Secure Processing Unit (SPU), engineered to help protect personal and vehicle data, and Qualcomm® Vision Enhanced Precise Positioning solution’s camera sensors and computer vision capabilities to enable differentiated use-cases on lane-level navigation and crowdsourcing of drive data for building high definition map layers.

The new Snapdragon Automotive Cockpit Platforms also provide fully scalable architecture with differentiated experiences, leveraging the same software architecture and framework allowing consumers to enjoy a harmonized user experience independent of the vehicle tier while leveraging the same software framework.

“Today’s integrated cockpits mandate a scalable software architecture to safely and securely combine Linux and Android infotainment functions with critical vehicle functions that require automotive-grade safety and certification. When used with a third-generation Snapdragon Automotive Cockpit Platform, the breakthrough INTEGRITY RTOS and Multivisor virtualization solution allows global Tier 1s and OEMs to overcome this challenge,” said Nakul Duggal, senior vice president of product management, Qualcomm Technologies, Inc. “We look forward to further strengthening our relationship with Green Hills as we share the commitment to offer the highest levels of safety-conscious and security-rich, performance solutions that define the future of high-performance, scalable vehicle cockpits.”

INTEGRITY Safe and Secure Consolidation

The INTEGRITY RTOS architecture was designed from the beginning for use in the most life-critical, mission-critical embedded systems. Its impenetrable separation partitions help software teams to safely and securely partition software running at different levels of criticality on the same multicore processor while guaranteeing the system resources required for the proper execution of applications. When Linux or Android environments are added, the INTEGRITY Multivisor secure virtualization safely runs these high-level operating systems in safe, secure partitions, assuring freedom-from-interference while achieving near native execution speeds, secure and flexible inter-process communications and the option to share GPU or other critical acceleration resources on the Snapdragon Automotive platform.

“The third-generation Snapdragon Automotive Cockpit Platforms are based on an impressive high-performance multicore automotive grade system-on-chip. With customers already deploying our solution built with the Qualcomm® Snapdragon 820A platform, we are pleased to be using these highly advanced automotive platforms with our safe and secure software solutions for inclusion in potentially millions of vehicles starting in 2020,” said Dan Mender, vice president, business development, Green Hills Software. “The INTEGRITY RTOS with Multivisor secure virtualization provides the essential software foundation to protect and partition the complex, mixed-criticality integrated cockpit software components.”

INTEGRITY with Multivisor secure virtualization and Green Hills Software’s award-winning MULTI IDE development tools for the third-generation Snapdragon Automotive Cockpit Platforms and Snapdragon 820A Automotive platform are currently available.

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Osram and GaN Systems develop fast laser driver for lidar

Optoelectronics specialist, Osram Opto Semiconductors, and GaN power semiconductor manufacturer, GaN Systems have collaborated on laser driver technology that enables longer range and higher resolution lidar architectures.

Osram’s laser portfolio for lidar includes the SPL DS90A_3 with a peak power of 120W at 40A. The company plans to release a four-channel SMT laser in 2019. The additional channels increase the field of view (FoV) and total peak power, with each channel being capable of generating 120W.

One of the issues with lidar technology has been its inability to transmit lasers at short pulses, while maintaining high peak power, which is necessary to ensure that the lidar with a long range and high resolution is safe to the human eye. To address this need, the two companies have developed a laser driver with a one nanosecond pulse rise time, while driving all four channels at 40A each to deliver 480W peak power. This peak power can be modulated at low-duty cycles to produce high resolution 3D cloud points at long range for new lidar designs.

Scanning lidar is used in advanced driver assistance systems (ADAS). Devices react instantly to potential collisions without wasting precious seconds of reaction time. Scanning lidar creates high-resolution 3D images of a car’s surroundings and registers obstacles early enough for ADAS, or self-driving cars, to initiate the appropriate driving manoeuvres, such as braking.

http://www.osram-os.com

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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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