Week In Review: IoT, Security, Autos


Internet of Things Sensors that see in the dark, look deep into our faces and hear the impossible, were all part of ams’ CES lineup this week. ams announced that it has designed an advanced spectral ambient light sensor (ALS) for high-end mobile phone cameras. The ALS, called the AS7350, identifies the light source and makes an accurate white balance under low-light and other non-ideal condi... » read more

Automotive E/E Architectures Are Key To Continued Innovation


Modern vehicles commonly are described as “computers-on-wheels” due to the recent explosion of computing power and electronic features manufacturers are equipping in their vehicles. The world’s first automobiles were relatively simple, and entirely mechanically operated. The first automotive electrical components were not even available until the 1930s, when manufacturers began offering v... » read more

Fixed and Floating FMCW Radar Signal Processing with Tensilica DSPs


Automotive advanced driver assistance system (ADAS) applications increasingly demand radar modules with better capability and performance. These applications require sophisticated radar processing algorithms and powerful digital signal processors (DSPs) to run them. Because these embedded systems have limited power and cost budgets, the DSP’s instruction set architecture (ISA) needs to be eff... » read more

Safety Islands In Safety-Critical Hardware


Safety and security have certain aspects in common so it shouldn’t be surprising that some ideas evolving in one domain find echoes in the other. In hardware design, a significant trend has been to push security-critical functions into a hardware root-of-trust (HRoT) core, following a philosophy of putting all (or most) of those functions in one basket and watching that basket very carefully.... » read more

Week in Review: IoT, Security, Autos


Products/Services The Networking for Autonomous Vehicles Alliance announces that Marvell Semiconductor is joining the NAV Alliance following its acquisition of Aquantia. Fourteen companies are in the industry organization, including Bosch, Continental, Nvidia, and Volkswagen. “The NAV Alliance is developing the platforms that will create the future of transportation and we believe that Multi... » read more

Bolstering Security For AI Applications


Hardware accelerators that run sophisticated artificial intelligence (AI) and machine learning (ML) algorithms have become increasingly prevalent in data centers and endpoint devices. As such, protecting sensitive and lucrative data running on AI hardware from a range of threats is now a priority for many companies. Indeed, a determined attacker can either manipulate or steal training data, inf... » read more

AI Warnings For Safer Driving


You’re driving to work, the same route you take every day. But this time, a storm passes over: you’re suddenly faced with heavy rain and reduced visibility. All of a sudden, the “accident score” meter on your car’s dashboard moves into the red. You ease off the gas, move out of the passing lane and your score drops down to amber—you can’t get it into the green due to the advers... » read more

Shrinking AV’s 1 Billion Test Miles


There is still no answer to how many miles an autonomous vehicle needs to drive before it's proven safe. But some AV developers and test companies are hoping to ease the burden a bit with automation that makes millions of real and simulated miles of road testing simpler to implement, supported by standards that make it easier to create and trade simulation scenarios. The goal is to reduce th... » read more

Best Practices for Traceability of Functional Safety Requirements In Automotive IP & SoCs


Automotive functional safety systems continue to incorporate complex features to meet wide range of consumer demands. Developing functional safety systems, including all the components such as the system-on-chip (SoC) and IP, hinges on the ability to meet the stringent automotive functional safety requirements such as definition, implementation, verification, and validation. Functional safety S... » read more

Machine Learning For ADAS Camera Manufacturing


Virtually every vehicle manufacturer in the world is either developing, purchasing, or investing in ADAS systems in order to bring autonomous vehicles into the market. With this demand on the rise, the need for high quality automotive camera modules is rising. ADAS systems are built using computer vision technology and act as the “eyes” of autonomous vehicles. Numerous cameras are embedd... » read more

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