If you're Intel, self-driving cars look an awful lot like PCs

Hardware capabilities, latest feature updates? You'll get what you pay for

Intel's vision of the computing architecture of autonomous vehicles is similar to that of PCs, with pricey models getting better hardware and the latest software, and cheaper self-driving cars getting the bare minimum.

The segments of premium and mid-range cars will need extra compute and over-the-air update capabilities to enable increasing levels of autonomous driving, said Erez Dagan, executive vice president at Mobileye, Intel's self-driving car system division, speaking at the Evercore ISI Autotech & AI Forum this week.

On the other hand, low-end vehicles will have basic equipment, sensors, and features as mandated or incentivized by regulations like the EU's General Safety Regulation, which focuses on improving driver safety.

"You don't need to have a strong computer or upgradable computer on a vehicle where you know the likelihood of over-the-air updates is very low," Dagan said, responding to a question about how he conceived future architectures for cars.

It's no surprise that more expensive products will get more features than less expensive alternatives; what is interesting to consider, which many not have, is a future in which autonomous vehicles on the road will have varying levels of abilities. Like PCs and smartphones, self-driving cars won't all be created equal.

Dagan was addressing how the autonomous vehicle market was developing, and not specific products the microprocessor giant will deliver. Intel, NXP, and others are actively talking about next-generation car architectures for autonomous driving, which are set to feature high-speed connectivity, advanced cameras and sensors, a reliance on cloud services, and so on.

Components will be more integrated in the premium cars, though Dagan couldn't directly comment on whether Mobileye or automakers using the company's tech will deliver the over-the-air updates.

Mobileye has a dual system – one based on cameras, and the other based on depth sensors like radars and lidar – to enable autonomous driving. It is also using Intel's silicon photonics and radio frequency intellectual property to develop sensors and camera systems. The company is also building a cloud-based mapping system based on information provided by cars equipped with its cameras.

Intel last month announced a partnership with Sixt to launch an autonomous taxi in Munich next year.

And speaking of cloud-connected cars, Arm this month unveiled SOAFEE – that's Scalable Open Architecture for the Embedded Edge – which developers can use, for instance, to build backend services and software update mechanisms, and integrate them with applications and firmware running on vehicles. ®

Similar topics

Other stories you might like

  • Graviton 3: AWS attempts to gain silicon advantage with latest custom hardware

    Key to faster, more predictable cloud

    RE:INVENT AWS had a conviction that "modern processors were not well optimized for modern workloads," the cloud corp's senior veep of Infrastructure, Peter DeSantis, claimed at its latest annual Re:invent gathering in Las Vegas.

    DeSantis was speaking last week about AWS's Graviton 3 Arm-based processor, providing a bit more meat around the bones, so to speak – and in his comment the word "modern" is doing a lot of work.

    The computing landscape looks different from the perspective of a hyperscale cloud provider; what counts is not flexibility but intensive optimization and predictable performance.

    Continue reading
  • The Omicron dilemma: Google goes first on delaying office work

    Hurrah, employees can continue to work from home and take calls in pyjamas

    Googlers can continue working from home and will no longer be required to return to campuses on 10 January 2022 as previously expected.

    The decision marks another delay in getting more employees back to their desks. For Big Tech companies, setting a firm return date during the COVID-19 pandemic has been a nightmare. All attempts were pushed back so far due to rising numbers of cases or new variants of the respiratory disease spreading around the world, such as the new Omicron strain.

    Google's VP of global security, Chris Rackow, broke the news to staff in a company-wide email, first reported by CNBC. He said Google would wait until the New Year to figure out when campuses in the US can safely reopen for a mandatory return.

    Continue reading
  • This House believes: A unified, agnostic software environment can be achieved

    How long will we keep reinventing software wheels?

    Register Debate Welcome to the latest Register Debate in which writers discuss technology topics, and you the reader choose the winning argument. The format is simple: we propose a motion, the arguments for the motion will run this Monday and Wednesday, and the arguments against on Tuesday and Thursday. During the week you can cast your vote on which side you support using the poll embedded below, choosing whether you're in favour or against the motion. The final score will be announced on Friday, revealing whether the for or against argument was most popular.

    This week's motion is: A unified, agnostic software environment can be achieved. We debate the question: can the industry ever have a truly open, unified, agnostic software environment in HPC and AI that can span multiple kinds of compute engines?

    Our first contributor arguing FOR the motion is Nicole Hemsoth, co-editor of The Next Platform.

    Continue reading

Biting the hand that feeds IT © 1998–2021