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Tasking SmartCode environment supports Aurix microcontrollers

Tue, Jan 25, 2022

Developers focusing on the Aurix TC4x microcontroller family by Infineon can use Tasking’s SmartCode software development environment.

The microcontroller family provides an upward migration path for the Aurix TC3x family. It features the next-generation TriCore 1.8 and scalable accelerators, including the parallel processing unit (PPU) as well as a single instruction, multiple data (SIMD) digital signal processor (DSP) to meet the requirements of various AI topologies, says Infineon.

The Aurix TC4x family supports developers in a range of automotive applications, including the future functional integration of domain- and zone-based E/E architectures. The microcontroller family can be used in electromobility and automated driving.

The Tasking SmartCode supports both the next-generation Aurix TriCore v1.8 instruction set and the PPU AI accelerator. According to Tasking, SmartCode is the only productive development environment with compiler that supports all architectures in the Aurix TC4x (TriCore compiler, SCR compiler, GTM compiler and PPU compiler).

Tasking SmartCode is also suitable for the development of software in safety-critical applications in accordance with ISO26262 up to ASIL D. It also meets the cybersecurity requirements of the new ISO/SAE 21434:2021 standard. Tasking offers users the associated safety/security manual so that no additional costs are incurred for tool qualification.

According to Infineon’s senior vice president, Automotive Microcontroller, Thomas Böhm: “With Tasking’s comprehensive software development tools, our customers can optimise system performance and qualify their systems quickly and cost-effectively for an ASIL-D safety concept”.

Tasking Germany provides embedded software development tools. It is headquartered in Munich, Germany.

Its development tools are used by automotive manufacturers and the world’s largest Tier 1 supplier to realise high-performance applications in safety-critical areas.

Volume production of the Aurix TC4x series is planned for the end of 2024. Samples of the TC49x were received by lead customers in 2022. The first productive version of Tasking SmartCode is available now.

http://www.tasking.com

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Allegro advances autonomous vehicles with GMR sensor

Wed, Jan 19, 2022

Believed to be the first high-resolution giant magnetoresistance (GMR) wheel speed and distance sensor, the A19360 will help vehicle manufacurers achieve levels 3, 4 and 5 automation in passenger vehicles, says Allegro Microsystems.

The A19360 wheel speed and distance sensor provides the signal resolution and reliability required for advanced levels of automation in passenger vehicles and mobility-as-a-service applications, continued the company.

According to a recent report by consulting firm, Strategy, the first passenger vehicles with level 3 (conditional automation) capabilities should be generally available by the end of 2022, and level 4 (high automation) capabilities available in people-mover applications by 2025. By 2030, vehicles incorporating levels 3, 4 and 5 (full automation) capabilities are expected to make up 20% of the total market in Europe, 12% in the US, and 11% in China.

The A19360 sensor is designed for SAE J3016 levels of automation 3, 4 and 5, and helps to safely enable features such as park assist, fully autonomous valet parking and traffic jam assistance with 4x better positional measurement. It can even improve autopilot functionality and low-speed control in dense environments, claims the company.

The A19360 provides high-resolution information to automotive systems by generating extra output events per magnetic cycle with a protocol that’s compatible with electronic control units (ECUs). Automated and autonomous vehicles require superior wheel rotation information for accurate low-speed control.

The A19360’s eight-event per magnetic cycle mode provides an increment for every approximately 5mm of tyre roll. It also includes a four-event per magnetic cycle mode that doubles the number of outputs per magnetic cycle (compared to a normal wheel speed sensor). This allows designers to halve the number of poles on in-wheel ring magnets to save costs or increase the air gap while still obtaining the same number of increments per revolution.

The A19360 was developed for ISO 26262 ASIL B(D), and is built on Allegro’s monolithic GMR technology with low jitter and large air gap capabilities. The company’s SolidSpeed Digital Architecture is claimed to provide the widest dynamic range of operating air gap and highly adaptive performance that eliminates flatlining due to thermal drift and system dynamics.

The A19360 is available in a two-pin SIP package (suffix UB) that is lead- (Pb) free, with tin lead frame plating. The UB package includes an IC and protection capacitor integrated into a single over-moulded package, with an additional moulded lead-stabilising bar for robust shipping and ease of assembly.

http://www.allegromicro.com

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ADAS introduces depth perception

Mon, Jan 17, 2022

Depth perception can be added to advanced driver assistance systems (ADAS) says Light, as the company introduces its Clarity depth perception platform, based on Cadence’s Tensilica Vision Q7 DSP.

The next-generation ADAS provides long range, high resolution depth perception using industry standard cameras. The Tensilica Vision Q7 DSP provides real time data processing, ensuring low latency, high bandwidth transmission of high-resolution output, said the company.

Light says its ADAS enables machines to see better than humans by using two or more cameras, novel calibration and signal processing to provide “unprecedented depth quality across the camera’s field of view”. Integrating the Tensilica Vision Q7 DSP enables up to 10 times faster processing of measured depth compared to a quad-core CPU, improving real time accuracy and reliability, reported Light. The configurable and extensible Vision Q7 DSP is accompanied by optimised computer vision libraries, optional accelerators and toolchains that efficiently handle workloads. Light implemented its proprietary multi-view depth perception algorithms via custom instructions using the Tensilica Instruction Extension (TIE) language, which resulted in an additional four-fold performance improvement with three times the area / power savings, claimed Cadence.

Meeting functional safety requirements with full ISO 26262 compliance with ASIL-D is crucial in ADAS. The Tensilica Vision Q7 DSP certified IP is available with certified toolchains, libraries and a streamlined failure modes, effects and diagnostic analysis (FMEDA) flow.

“Light’s solution enables machines to see better than humans, and a key part of that is processing that information quickly enough to allow the machine to react to the world around it,” said Dave Grannan, CEO of Light. “Integrating the Cadence Tensilica Vision Q7 DSP provides us with enhanced signal processing capabilities at low power with low latency . . . helping us to provide accurate and reliable measured depth for future ADAS systems. Additionally, integrating ISO 26262-certified IP such as the Tensilica Vision Q7 DSP is critical when designing automotive-grade solutions,” he added.

Cadence applies its underlying Intelligent System Design strategy to deliver software, hardware and IP that turn design concepts into reality. Cadence customers deliver electronic products from chips to boards to systems for the most dynamic market applications, including consumer, hyperscale computing, 5G communications, automotive, mobile, aerospace, industrial and healthcare.

Light is pioneering real-time 3D perception to redefine how vehicles see the world. The company’s breakthroughs in computational imaging with multi-camera calibration and advanced signal processing provide accurate depth at both near and far distances in real time.

http://www.light.co

http://www.cadence.com

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AI in vehicle cockpit will help drivers interpret data

Mon, Jan 17, 2022

Computer vision based spatial AI provided by Phiar Technologies will be brought to Qualcomm Technologies’ Snapdragon automotive cockpit platforms for AI-powered augmented reality (AR) navigation systems in vehicles.

Today, drivers are facing cognitive overload from having to interpret a multitude of information and notifications from the cockpit, while still trying to interpret directions on a 2D map, said Phiar, which is working with Qualcomm Technologies to bring seamless AI-powered road perception and AR navigation to video and HUD-based automotive IVI environments.

Gene Karshenboym, CEO of Phiar Technologies, explained that delivering AR navigation to drivers will bring them intelligent navigation guidance in real-time for more intuitive driving, without the need to look at a map. “Working with Qualcomm Technologies and the Snapdragon automotive cockpit platforms has empowered us to continually innovate on our existing high standards in AR navigation design, and to deliver the first-rate infotainment services and digital cockpit solutions demanded by modern consumers,” he said.

Bill Pinnell, vice president, product management, automotive at Qualcomm Technologies, added: “There is a growing expectation among consumers and automakers for sophisticated and truly connected digital cockpit solutions. Qualcomm Technologies is delighted that our next generation Snapdragon automotive cockpit platform is helping bring the future of driving navigation to consumers through Phiar’s innovative platform.”

Founded in 2017, Phiar Technologies is a computer vision AI company, specialising in augmented reality driving navigation technology for the automotive industry. Phiar combines its patented innovations in deep learning AI and AR into a new form of driving navigation platform to enhance safety, facilitate more intuitive wayfinding and connect drivers with their surrounding environments.

http://www.phiar.net

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Tasking SmartCode environment supports Aurix microcontrollers

Allegro advances autonomous vehicles with GMR sensor

ADAS introduces depth perception

AI in vehicle cockpit will help drivers interpret data

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