Challenges Grow For Modeling Auto Performance, Power


Rising complexity in automobiles is creating huge challenges about how to add more safety and comfort features and electronics into vehicles without reducing the overall range they can travel or pricing them so high that only the rich can afford them. While the current focus is on modeling hardware and software to understand interactions between systems, this remains a huge challenge. It req... » read more

Where Are The Autonomous Cars?


Are we there yet? Governments, consumers, and engineers alike want to know how close the automotive world is to producing a fully autonomous Level 5 vehicle. While some experts say such vehicles could hit the road in the next few years, they're a shrinking minority. Most forecasts say a truly self-driving car is at least a decade away — and maybe much longer, because it requires disruptive... » read more

Which Fuel Will Drive Next-Generation Autos?


With gasoline prices hitting uncomfortable highs, consumers increasingly are looking toward non-gasoline-powered vehicles. But what ultimately will power those vehicles is far from clear. Inside the cabin and under the hood, these vehicles will be filled with semiconductors. Yet what the energy source is for those semiconductors is the subject of ongoing debate. It could be batteries, hydrog... » read more

National Highway Traffic Safety Administration Reports on Levels 2-5


The National Highway Traffic Safety Administration (NHTSA) released data on crashes for ADAS and ADS systems, as reported by automakers and operators. Data was collected for the time period July 2021-May 2022. Find the SAE Level 2 advanced driver assistance systems (ADAS) summary report here and the SAE Levels 3-5 automated driving systems (ADS) summary report here. Report was published in J... » read more

Automotive Bandwidth Issues Grow As Data Skyrockets


Bandwidth requirements for future vehicles are set to explode as the amount of data moving within vehicles, between vehicles, and between vehicles and infrastructure, continues to grow rapidly. That data will be necessary for a variety of functions, some of which are here today and many of which are still in development. On the safety side, that includes everything from early warning systems... » read more

Navigating The Intersection Of Safety And Security


Vehicle systems and the semiconductors used within them are some of the most complex electronics seen today. In the past, electronics going into vehicle systems implemented flat architectures with isolated functions controlling various components of the power train and vehicle dynamics. However, to support the realization of Level 4 and Level 5 (L4/L5) autonomous driving, a massive restructure ... » read more

Evolving Your ADAS And AV Tests With Emulation Capability


Creating safe and robust autonomous driving (AD) systems is a complex task. Autonomous vehicles (AVs) have hundreds of sensors, all of which need to work with one another inside the car and with other smart vehicles. The software algorithms enabling autonomous driving features will ultimately need to synthesize all the information collected from these sensors to ensure that the vehicle responds... » read more

Software-Defined Cars


Automotive architectures are becoming increasingly software-driven, a shift that simplifies upgrades and makes it easier to add new features into vehicles. All of this is enabled by the increasing digitalization of automotive functions and features, shifting from mechanical to electrical design, and increasingly from analog to digital data. That enables OEMs to add or up-sell features years ... » read more

Automotive Safety Island


The promise of autonomous vehicles is driving profound changes in the design and testing of automotive semiconductor parts. Automotive ICs, once deployed for simple functions like controlling windows, are now performing complex functions related to advanced driver-assist systems (ADAS) and autonomous driving applications. The processing power required results in very large and complex ICs that ... » read more

HD Map (EdgeMap) Crowdsources Data From Connected Vehicles in Auto Edge Computing


New research paper from University of Nebraska-Lincoln, Xidian University and University of North Carolina at Charlotte. Abstract "High definition (HD) map needs to be updated frequently to capture road changes, which is constrained by limited specialized collection vehicles. To maintain an up-to-date map, we explore crowdsourcing data from connected vehicles. Updating the map collaborati... » read more

← Older posts Newer posts →