25G Ethernet: Scaling Data Movement For ADAS, Industry 4.0, And 5G Systems


The automotive and industrial markets are undergoing rapid transformation, driven by Advanced Driver Assistance Systems (ADAS) adoption, Industry 4.0 automation, and the rollout of 5G infrastructure. These trends are driving an unprecedented demand for edge AI capabilities and connectivity, with the global Edge AI IC market projected to grow at a 34.7% CAGR and reach $340B by 2034 [1]. Traditio... » read more

New Automotive Architectures Are Shaking Up Processor And Memory Choices


Key Takeaways Assisted and autonomous driving require more data from more sensors, and much faster processing of some of that data. The shift to software-defined vehicles and centralized intelligence makes it easier to identify where the most advanced processors and memories are required, and where older and less expensive technologies can be deployed. Technologies that were largely ... » read more

GPU Enables Surround View In Automotive Domain Controller


In recent years, the capabilities of Advanced Driver Assistance Systems (ADAS) have flourished. Nearly half of all car sales in the USA offer Level 2 capabilities (such as lane keeping and adaptive cruise control) or higher, and China is pushing the market further towards Level 3 (conditional automation with driver oversight) and beyond. The advanced functionality offered by these ADAS and a... » read more

ADAS/AD: Why An External Safety MCU Remains A Cornerstone For Safety Alongside SoC Safety Islands


Advanced driver-assistance systems (ADAS) and autonomous driving (AD) technologies are revolutionizing mobility, making vehicles smarter, safer, and increasingly autonomous. At the heart of these advancements are sophisticated computing architectures built on system-on-chips (SoCs) that manage complex tasks like perception, decision-making, and control. Many SoCs integrate a "Safety Island"—a... » read more

Solving The Mixed Criticality Challenge In Automotive Controllers


Car users want immersive and interactive in-vehicle experiences, especially as autonomous driving technology takes over more of our driving responsibilities. To satisfy this demand, automotive manufacturers are deploying multiple display environments in their cars, from cockpits to heads-up displays and from central infotainment screens to rear-seat entertainment. All of these displays are powe... » read more

Design and Test Solutions for E-Mobility and Autonomous Driving


The automotive industry is accelerating its electronic technology revolution and fusing with the clean energy ecosystem. By 2030, 4.2 million cars will be autonomous and 50% will be electric. Dramatic increases in the number of sensors and applications in new automobiles have evolved the vehicle from a peripheral role to a network hosting clusters of connected devices. Cars now need to be o... » read more

Measurements and Simulation-Based Characterization Of eFuses


In conventional safety systems, the off state can be assumed to be safe. With ADAS, this is no longer automatically the case. This makes it necessary to adopt new approaches to fuse protection, which will subsequently spread to other industries. Traditionally, the vehicle electrical system was protected by sacrificial fuses. These reliably disconnect the power supply in the event of overcurr... » read more

Challenges In Using Sub-7nm ICs In Automotive


The automotive industry is producing vehicles with increasing levels of real-time decision-making, enabled by thousands of ICs, sensors, and multi-chip packages, but making sure these systems work flawlessly throughout their expected lifetimes is a growing challenge. Automotive chips traditionally were developed at mature process nodes in five- to seven-year cycles, but much has changed over... » read more

Safety Architecture and Approaches for Automotive SW And HW Including ASIL D And AI/ML (Mercedes-Benz, U. Of Washington)


A new technical paper titled "Key Safety Design Overview in AI-driven Autonomous Vehicles" was published by researchers at Mercedes-Benz Research and Development North America and University of Washington . Abstract "With the increasing presence of autonomous SAE level 3 and level 4, which incorporate artificial intelligence software, along with the complex technical challenges they present... » read more

Smarter Cars, Higher Stakes


Artificial intelligence is turbocharging automotive innovation, but it's also unleashing a tangle of high stakes risks that engineers and security experts are scrambling to contain. The push to embed AI deep into today’s vehicles is changing how cars are built, how they handle the road, and how they keep passengers safe. But as onboard intelligence expands, so do the risks. AI systems that... » read more

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