Dodging The Next Generation Of Car Thieves


The complexity of vehicle electronics is growing and brings with it more opportunities for hackers to penetrate the car’s defenses. More connections bring in multiple network topologies, which may or may not be secure. As they are all intertwined and interconnected, any connection to get into the vehicle’s electronics is a potential point of attack for hackers. For example, jamming RFID sig... » read more

New Opportunities For OTP NVM


By 2020 more than 50 billion devices will be connected to the Internet, according to Cisco’s latest forecast. Smartphone traffic will exceed PC traffic and broadband speeds will nearly double by 2021. And by the next Winter Olympics (Beijing 2022), 1 trillion networked sensors could be embedded in the world around us. While tech experts offer slightly different projections of actual numbers,... » read more

Data Converters For Automotive Applications


Sensor applications requiring data converters range from temperature sensors identifying different engine status to radar/LIDAR enabling Automotive Driver Assistance Systems (ADAS). Other applications involving data converters include wireless transceivers for communicating with other vehicles or with a fixed network. The data converter IP (analog-to-digital and digital-to-analog) provides an i... » read more

Build In Functional Safety Early


In the automotive world, recalls for electronics affect about five percent of the vehicles on the road. That means 5 out of every 100 vehicles today have a problem with their electronics. If we want to see more autonomous driving vehicles, that number must be improved. There needs be more robustness in the development process. Making cars safer today is Advanced Driver Assistance System (ADA... » read more

5G Gets Closer To Commercialization


Cellular carriers would like to have their new 5G networks up by the end of 2018 or early 2019. One problem: they need a set of standards to create the new technology. In June, tech representatives met and made significant first step for technology companies to start building out the necessary 5G chips and software. In La Jolla, California, the 3rd Generation Partnership Project (3GPP) met f... » read more

Still Waiting For Autonomous Vehicles


To better understand the challenges ahead for fully autonomous vehicles, research teams over the last few decades have attempted to automate the process of driving. But early successes have not yet given us truly autonomous vehicles. Why? The Defense Advanced Research Projects Agency (DARPA) created the first autonomous vehicle in 1984. This limited-use autonomous vehicle could drive on- and... » read more

Planning For A Digital Automotive Supply Chain


At the heart of the very cool intelligent connected vehicles (ICVs) of tomorrow is sophisticated software with artificial intelligence and powerful silicon chips all working together. These technologies will transform the traditional automotive supply chain from a mechanical-driven world to a digital one, where the user experience, reliability, safety, and value are created from silicon and sof... » read more

Improving Security In Cars


When security researchers first demonstrated that they could hack a car over the internet to control its brakes and transmission, Chrysler had to recall 1.4 million vehicles to fix the software vulnerability. The infamous Jeep hack of 2015 was an expensive wake-up call for the automotive industry. So, what has changed since then? In today’s cars, software now controls everything from safet... » read more

Achieving ISO 26262 Certification With High-Performance Processors


Automotive technology has progressed rapidly and the day when fully autonomous vehicles are prevalent on the roadways is not that far in the future. For driverless vehicles to become the norm, however, safety is paramount, and advanced driver assist systems (ADAS) must adhere to the ISO 26262 functional safety standard for electrical and/or electronic systems in automobiles to ensure the safety... » read more

Low-Power Deep Learning Implementation For Automotive ICs


Examples of automotive applications abound where high-performance, low-power embedded vision processors are used, from in-car driver drowsiness detection, to a self-driving car ‘seeing’ the road ahead with pedestrians, oncoming cars, or the occasional animal crossing the road. Implementing deep learning in these types of applications requires a lot of processing power with the lowest possib... » read more

← Older posts Newer posts →