Integrity launches first MA for V2X ecosystems

Believed to be the first misbehaviour authority service (MAS) for the US V2X (vehicle to everything) ecosystem, Integrity Security Services (ISS) has announced that its MAS will begin by serving subscribers already subscribing to its all certificate management service (CMS).

All new and existing ISS CMS subscribers will be able to begin identifying vehicles for misbehaviour and removing them from their networks. Device manufacturers and all subscribers can contact Integrity for certification and to enable the device with the ISS-approved MAS OBU client and begin testing.

The ability to identify vehicles that are not sending correct V2X messages and to remove them from the connected vehicle ecosystem is an important security requirement to maintain trust in the ecosystem. ISS claims that its MAS provides this capability on a scalable and efficient national level. ISS will be publishing its misbehaviour detection criteria, reporting format and MAS APIs for OBU and RSU vendors to use with their compliant systems.

Integrity Security Services was established to provide best practice embedded security products and infrastructure solutions for protecting smart devices from cyber security attacks. End-to-end automotive solutions range from ECU cryptographic platforms to large-scale public key management systems.

https://www.ghsiss.com

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Solid-state lidar improves detection distance for vehicles

At this week’s CES 2019 (8 to 12 January) in Las Vegas, USA, RoboSense will demonstrate an upgraded version of its MEMS solid-state lidar, an automotive grade version designed for the mass production of autonomous vehicles. The RS-LiDAR-M1 has patented MEMS technology and offers vehicle intelligence awareness to a level that fully supports Level 5 driverless automated driving. The company also claims a breakthrough on the measurement range limit based on 905nm lidar with a detection distance to 200m. As a result, says the company, the upgraded optical system and signal processing technology can now clearly recognise even small objects, such as railings and fences.

The first generation MEMS solid-state lidar RS-LiDAR-M1Pre was launched at last year’s CES and was loaded on the Cainiao unmanned logistics vehicle in May 2018. This year the company will be showcasing the potential of its MEMS optomechanical system design, with improvements in detection distance, resolution, field of view (FoV) and reliability.

The RS-LiDAR-M1 MEMS optomechanical lidar provides an increased horizontal field of view compared to the previous generation, reaching 120 degrees FoV; only a few RS-LiDAR-M1s are needed to cover the 360 degrees field of view. It also means that with only five RS-LiDAR-M1s, there is no blind zone around the car with dual lidar sensing redundancy provided in front of the car for a Level 5, i.e. full driverless – driving.

The company believes that the battle between 1550 and 905nm lidar is about cost and performance. When aiming for a low-cost 905nm lidar, it is necessary to overcome the technical difficulties of achieving sufficient measurement range. The RS-LiDAR-M1 achieves what the Robosense describes as a breakthrough on the measurement range limit based on the 905nm lidar, with a detection distance to 200m.

The final output point cloud effect means that the RS-LiDAR-M1 has improved detection capability via the upgraded optical system and signal processing technology, which can now clearly recognise even small objects, such as railings and fences.

http://www.robosense.ai

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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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Low-noise LDO regulator powers automotives and smart automation

For always-on automotive modules and noise-sensitive loads, the LDO40L 400mA low-dropout (LDO) linear regulator delivers quiet and efficient power, says STMicroelectronics.

The AEC-Q100 qualified LDO40L has 45 microA quiescent current and reduces the demand on vehicle batteries to run loads such as body and interior functions that are active when the ignition is off. The LDO40L can be disabled to achieve a very-low shutdown current of only one microA.

The internal circuity operates from an input voltage as low as 3.5V and combines with the extremely low dropout voltage of 36mV at 100mA load, or 140mV at full load. The LDO40L maintains power to the load as the input dips during cold cranking.

The LDO40L powers automotive body-control modules, instruments and clusters, and LED lighting, and ensures stable DC for industrial controls and building- or home-automation applications. Output noise is just 20 microV, power-supply rejection ratio (PSRR) 70dB at 1kHz, and protection features including current limit and thermal shutdown are built-in.

There is a choice of fixed 3.0, 3.3, 5.0 or 8.5V output voltage, regulated within ± three per cent including line, load and temperature variation. Only two capacitors are needed to complete the application circuit. An adjustable-output version is also available, which allows designers to set an output voltage down to 2.5V minimum using an external resistor divider.

All versions are housed in a 3.0 x 3.0mm DFN6 package with wettable flanks, which is smaller than the DPAK outline of typical competing devices yet maintains high thermal performance and excellent reliability in relation to heatsink size.

http://www.st.com

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