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Automotive Innovations In Semiconductors


By Jeff Barnum, Janay Camp, and Cathy Perry Sullivan The semiconductor industry performed better than expected in 2020 despite the impact of COVID-19 on the global economy and is preparing for accelerated growth in 2021 and beyond. The global coronavirus pandemic significantly increased demand for communications electronics and fueled the growth in cloud computing to support remote work and ... » read more

High-Fidelity Optical Edge Case Analyses For Lidar Simulation


Advanced driver assistance systems (ADAS) and autonomous vehicles (AV) rely on heavily on four main sensor modalities for perception: radars, cameras, ultrasonic and, most recently, lidars (light detection and ranging). Lidar is a crucial sensor to the ADAS toolset because it can measure precise three-dimensional images (point clouds) of everything from cars to traffic lights to pedestrians in ... » read more

Data Centers On Wheels


Automotive architectures are evolving quickly from domain-based to zonal, leveraging the same kind of high-performance computing now found in data centers to make split-second decisions on the road. This is the third major shift in automotive architectures in the past five years, and it's one that centralizes processing using 7nm and 5nm technology, specialized accelerators, high-speed memor... » read more

Making Lidar More Useful


Lidar, one of a trio of “vision” technologies slated for cars of the future, is improving both in terms of form and function. Willard Tu, director of automotive at Xilinx, talks with Semiconductor Engineering about different approaches and tradeoffs between cost, compute intensity and resolution, various range and field of view options, and why convolutional neural networks are so important... » read more

Automotive AI Hardware: A New Breed


Arteris IP functional safety manager Stefano Lorenzini recently presented “Automotive Systems-on-Chip (SoCs) with AI/ML and Functional Safety” at the Linley Processor Conference. A main point of the presentation was that conventional wisdom on AI hardware markets is binary. There’s AI in the cloud: Big, power-hungry, general-purpose. And there’s AI at the edge: Small, low power, limited... » read more

Securing ADAS At The Chip Level


The advent of ADAS, Advanced Driver Assistance Systems, is making a dramatic impact on new vehicles. It provides many helpful functions such as automotive night vision, forward collision warnings, collision avoidance, and lane departure warnings. In order to operate, ADAS requires the computerization of most of the functions of the vehicle. This results in from 50 to over 100 electronic control... » read more

The Good And Bad Of Auto IC Updates


Keeping automobiles updated enough to avoid problems is becoming increasingly difficult as more complex electronics are added into vehicles, and as the lifetimes of those devices are extended to a decade or more. Modern vehicles are full of electronics. In fact, the value of electronic devices used in modern vehicles is expected to double in the next 10 years, growing to $469 billion by 2030... » read more

Automotive IC Shortage Drags On


The current automotive semiconductor shortages won’t end anytime soon. When the COVID-19 pandemic hit in early 2020, it wreaked havoc on the worldwide supply chain, but it especially caught automakers flat-footed. When the auto OEMs canceled chip orders during a roughly eight-week period of plant shutdowns, they later found their supplies of critical ICs had evaporated. To make it an ev... » read more

Meeting Automotive Functional Safety Requirements With GPIOs


Automotive OEMs are building advanced driver assistance systems (ADAS) to improve safety. ADAS systems must meet stringent performance, power, and cost requirements, so the system-on-chips (SoCs) that make up ADAS and passenger safety systems integrate advanced protocols and are built on leading edge finFET process technologies. Designers of this new class of ADAS SoCs are challenged to meet IS... » read more

Shifting Auto Architectures


Domain controllers and gateways are being replaced by central processing modules and zonal gateways to handle all of the data traffic in a vehicle. Ron DiGiuseppe, automotive IP segment manager at Synopsys, talks with Semiconductor Engineering about how automotive applications are changing, what that means for engineering teams, and how they will shift as AI is increasingly deployed. » read more

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