Coordinating Automotive Embedded Software Development Requires A Unified Approach


The rising intelligence and connectivity of vehicles are making the interactions between software and physical systems more complex, exposing the deficiencies of current processes, tools and methods. To compete in the technological race for the future of mobility, companies must evolve their software development processes today. A common digital thread connecting software and physical systems t... » read more

Machine Learning For Autonomous Drive


Advances in Artificial Intelligence (AI) and Machine Learning (ML) is arguably the biggest technical innovation of the last decade. Although the algorithms for AI have been in existence for many years, the recent explosion of both data as well as faster compute made it possible to apply those algorithms to solve many real life use cases. One of the most prominent of these use cases is fully aut... » read more

Reducing Your Fault Campaign Workload Through Effective Safety Analysis


As the automotive industry strives for greater levels of autonomous functionality, ICs will become integral in virtually every vehicle system. Companies previously embedded in non-safety critical markets are transitioning current technologies to the growing and rapidly evolving automotive market. These companies will face the unfamiliar challenges associated with having to enhance their IP to s... » read more

How To Solve Automotive Electrical Design Challenges To Get To Market Faster


By Dan Scott and Ulrike Hoff The never-ending development of new technologies in the automotive industry has led to the Content Dilemma, the conflict between the technology content that vehicle manufacturers try to integrate into their vehicles, and the weight, cost and packaging space required for wiring harnesses. Current technology trends driving the Content Dilemma include electrificatio... » read more

In Automotive, A Move From Microcontrollers To Massively Complex SoCs


Cars and custom, high-end chips. It’s a topic coming up more frequently these days. The most prominent example is Tesla’s FSD computer, described by Elon Musk as “the best chip in the world…objectively” during the company’s April Autonomy Day. When it comes to chips, Tesla is alone only when it comes to hyperbole, at least based on browsing job postings for big carmakers and supplie... » read more

Three Tools Help Put Safe Vehicles On The Road


By Richard Pugh and Gabriele Pulini As the ultimate systems-of-systems, automated vehicles present an enormous verification task, requiring verification of complex sensing, computing, and actuating functions. This can be accomplished only by virtualizing the entire system: the vehicle and the environment it moves through. It also requires a combination of realistic scenario modeling, hard... » read more

Speeding Up Electrical Vehicle Development With Designer-Centric Thermal And Electromagnetic Simulation And Analysis


By 2040, 54% of new car sales and 33% of the global car fleet is predicted to be electric [1]. More than six countries have announced a ban on internal-combustion engines. China is expected to be the largest market for electrical vehicles (EVs), which is driving automakers to make aggressive rollout plans for EVs. Some of the important trends driving EV development are getting more than 200 ... » read more

Chip Design For The Age Of New Mobility


In the new age of mobility, vehicles are valued more and more for their electronic features instead of mechanical specifications. As a result, companies that are able to own and optimize the design of these critical electronics will capture more of the available profit. This is bringing traditional automotive manufacturers into the electronics business, while simultaneously attracting tech comp... » read more

Automotive IC Design Demands Next-Generation High-Sigma Verification


By Jeff Dyck High-sigma analysis is required for verifying replicated components, like memory blocks and standard cells, and for demonstrating mission-critical reliability for automotive and medical applications. It is not feasible to verify to high-sigma using brute-force Monte Carlo, as this requires 10s of millions of simulations to reach 5-sigma and billions in order to reach 6-sigma. S... » read more

Scaling To Meet Engineering Challenges In Transportation


If you’re working on anything related to self-driving cars, you’re likely pondering the tradeoff between what’s technically possible and socially feasible. Example: what do you do if the posted speed is 25mph while the local norms are to travel at least 30 mph? Obey the law and annoy the drivers around you? Or follow the herd and risk the ire of local law enforcement and officials who are... » read more

← Older posts