Rainier Client Coverage & Content

Read Coverage

AMD: The In-Vehicle Experience (Whitepaper)

AMD: The In-Vehicle Experience (Whitepaper)

Automotive designers are challenged to keep pace with dynamic, aggressive design and compute requirements. From in-vehicle infotainment systems to advanced driver assistance systems, the modern vehicle as we know it, is undergoing a radical reimagining as it gains expansive, integrated infotainment within the cabin, and increased autonomy on our roadways.

Read Coverage

Auto Futures: How Digital Twins Can Help Speed Up Innovation In Automotive, Smart Cities, Defence & Manufacturing

How Digital Twins Can Help Speed Up Innovation In Automotive, Smart Cities, Defence & Manufacturing

In this special report, Auto Futures talks with leaders in the field, like Duality Robotics, to define digital twins, and learn how they can help speed up future innovation.

Read Coverage

SemiEngineering: Week In Review: Auto, Security, Pervasive Computing

Week In Review: Auto, Security, Pervasive Computing

RadSee, an Israeli startup, is offering a 4D automotive imaging radar solution that uses off-the-shelf 77GHz chips and proprietary AI algorithms and system architecture.

Read Coverage

Electronics360: RadSee unveils 4D imaging radar for ADAS and self-driving cars

RadSee unveils 4D imaging radar for ADAS and self-driving cars

RadSee Technologies Ltd has announced availability of what it claims is the first 4D imaging radar for advanced driver assistance systems (ADAS) and autonomous vehicles.

Read Coverage

New Electronics: RadSee launches high-performance 4D imaging radar

RadSee launches high-performance 4D imaging radar

RadSee Technologies is making available the automotive industry’s first 4D imaging radar for ADAS and autonomous vehicles.

Read Coverage

Green Car Congress: RadSee launches high-performance automotive 4D imaging radar

RadSee launches high-performance automotive 4D imaging radar; lower cost, low-risk integration

Israel-based RadSee Technologies Ltd. announced the availability of the automotive industry’s first 4D imaging radar for ADAS (advanced driver assistance systems) and autonomous vehicles.

Read Coverage

Embedded Computing Design: RadSee Launches Automotive 4D Imaging Radar

RadSee Launches Automotive 4D Imaging Radar

RadSee Technologies announced the availability of the automotive industry’s first 4D imaging radar for ADAS and autonomous vehicles.

Read Coverage

Automotive News Europe: Sensor supplier AMS wins Great Wall business

Sensor supplier AMS wins Great Wall business

ams technology, developed in cooperation with Germany's Ibeo Automotive Systems, a specialist for optical sensors that use lasers to produce 3D pictures of a car's environment, or lidar, will be a core component of a new generation of Great Wall Motor's vehicles.

Read Coverage

Auto Beat: VCSEL LIDAR and Level 3 Autonomy

VCSEL LIDAR and Level 3 Autonomy

High-performer sensor supplier ams has announced that a LIDAR system from Ibeo Automotive Systems, ibeoNEXT, which uses ams Vertical Cavity Surface Emitting Laser (VCSEL) technology, will be used in Level 3 automated driving systems for vehicles built by Chinese OEM Great Wall Motor in 2022.

Read Coverage

Embedded Computing Design: Embedded Executives - Patrick Wadden, Global VP, Automotive Business Development, Vicor

Embedded Executives: Patrick Wadden, Global VP, Automotive Business Development, Vicor

Decentralized power is a phenomenon that’s starting to hit the automotive sector. Is it better to have lower power levels in more places in the car, as opposed to one centralized place?

Read Coverage

EBN: Summer School for Buyers: HDI & Auto Design

Summer School for Buyers: HDI & Auto Design

Today’s automotive industry is changing at an incredibly fast pace, moving from combustion engine-based designs with human drivers to driverless, electronics-based systems. This automotive transformation presents some clear electronic design challenges in the inevitable shift toward the design and production of semi- and fully autonomous vehicles.

Read Coverage

Financial Times: Can Automakers Catch Up with Google in Driverless Cars?

Can Automakers Catch Up with Google in Driverless Cars?

General Motors celebrated being the world’s largest carmaker for the 76th straight year in 2007. It was sitting on $25 billion in cash. Eighteen months later, it was bankrupt. The automotive industry is among the most capital intensive in the world: If the economy sours, assets turn into liabilities overnight as factories churning out thousands of cars begin to hemorrhage cash. So when toxic mortgage securities blew up in 2008, causing a recession, banks performed terribly — but carmakers fared even worse. (Article originally appeared in Financial Times)

Read Coverage

EDN: Meeting the power demands of battery supplied automotive electronics

Meeting the power demands of battery supplied automotive electronics

Have you driven a new automobile recently?  It can be an almost futuristic experience, with sophisticated gauges, touch screens, connected entertainment systems, and lighting—all of which need power. Behind all these electronics are battery regulators and battery chargers that manage the power both into and out of 12V, 24V, and 48V batteries. Each year the ‘must have’ list of supported accessories and electronic systems grows with the expectation that the size, weight and number of supporting power components will keep pace with the increased power demands.

Read Coverage

EBN: Cross-Organizational Data Sharing in the Auto Supply Chain Reduces Defects

Cross-Organizational Data Sharing in the Auto Supply Chain Reduces Defects

For years, semiconductor manufacturers have leveraged manufacturing data throughout their globally-dispersed supply chains to improve quality and reduce return material authorizations (RMAs). Automotive OEMs and Tier 1 suppliers are now working to meet the similar challenge of reducing defective parts per million (DPPM) and beyond in vehicle production. The ability to share and connect data backwards and forwards throughout the supply chain is now seen as a key capability to address this challenge. How can sharing data throughout the automotive supply chain reduce DPPM?