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

Safety, Security And Open Source In The Automotive Industry

Today’s cars are as much defined by the power of their software as the power of their engines. Almost any car feature you can name is now digitized to provide drivers with easier operation and better information. Technological innovation is accelerating, enabling automobiles to monitor and adjust their position on the highway, alerting drivers if they’re drifting out of their lane, even aut... » read more

Bluetooth Mesh Drives Security For Automotive Applications

The use of Bluetooth technology continues to grow beyond mobile into rapidly expanding IoT and automotive applications. Consumers have grown to expect hands-free calling via Bluetooth, however, as the technology moves to other use cases such as tire pressure monitors or door lock connectivity, security becomes a key challenge to automotive SoC designers. Bluetooth-enabled devices have been a... » read more

The Road To Autonomous Driving Is Paved With New Opportunities For Chip Companies

The migration from human-driven to self-driven vehicles in the next few years will provide the semiconductor industry with new opportunities. Vehicles on the road today have so far featured only a few digital enhancements and even less automation. Indeed, the most noticeable enhancements have been made in the advancement of the infotainment console within the dashboard – the ability to str... » read more

For SoC ISO 26262 Compliance, Should All EDA Tools Be TCL1?

ISO 26262, the automotive functional safety standard, requires the assessment of software tool confidence levels (TCLs) as either a TCL1, TCL2 or TCL3.  Part 8:2011, clause 11.4.5 of the ISO 26262 standard provides a methodology with guidance for software tool classification and qualification. It applies to software tools used for the development of safety-critical designs where it is essentia... » read more

Achieving ISO 26262 Certification With ASIL-Ready IP

According to an article by McKinsey, “analysts predict revenue growth for advanced driver assistance systems (ADAS) to be up to 29 percent, giving the segment one of the highest growth rates in the automotive and related industries.” This opportunity has invigorated the automotive supply chain to increase their R&D investments for faster product innovations. The focus on innovation is e... » read more