Skip to main content
  1. Home
  2. Cars
  3. News

From Paris to NYC, Mobileye will bring self-driving cars to metropolises

Add as a preferred source on Google
A self-driving vehicle from Mobileye's autonomous test fleet navigates the streets of Detroit. (Credit: Mobileye, an Intel Company)
Image used with permission by copyright holder

A Tesla in Autopilot mode can ply the highways of Northern California without issue, but when it comes to congested cities packed with erratic vehicle traffic, bikes, and pedestrians, cameras don’t always cut it. Or they didn’t, anyway. After years of testing, Intel-owned Mobileye intends to embrace the madness of the metropolis by rolling out self-driving cars in cities across the world.

On Monday, the first day of CES 2021, the company announced that Tokyo, Shanghai, Paris, Detroit, and New York City will all see fleets of Mobileye-powered vehicles rolled out in early 2021, if all goes well (regulatory issues are still being ironed out in NYC).

Recommended Videos

The key, says CEO Amnon Shashua, is technology that lets Mobileye map entire cities without an army of engineers on the ground. More than 1 million vehicles from six different carmakers are already sharing data with Mobileye, allowing the company to build high-definition maps of cities without needing a physical presence there. The company just proved this approach in Munich, where it successfully launched autonomous vehicles with just two weeks of testing and two employees in the city. Mobileye calls this technology Road Experience Management, or REM.

A complementary technology called Responsibility-Sensitive Safety, or RSS, will allow the vehicles to deal with unpredictable city drivers. “If we’re going to deploy an AV car amongst other human drivers, it needs to behave as a human would,” said Shashua. “Humans make assumptions. We replicated those assumptions in a mathematical way.” So while an autonomous car may know it has the right of way, it will still anticipate other drivers violating that right of way, and react accordingly.

In addition to its camera-based advances, Mobileye announced that it will be working with parent company Intel to develop chip-based lidar by 2025. That puts Intel in competition with many other companies racing to develop solid-state lidar, but Shashua insists that Intel’s existing silicon manufacturing facilities give it a leg up.

Nick Mokey
As Digital Trends’ Editor in Chief, Nick Mokey oversees an editorial team covering every gadget under the sun, along with…
iOS 26.4 adds ChatGPT to you car’s infotainment screen
Apple's iOS 26.4 brings ChatGPT, Gemini, and Claude to your car's screen, adds calming ambient music widgets, and previews the in-car video future that drivers have been waiting for.
CarPlay shown in March 2025.

Apple rolled out iOS 26.4 recently, and while your iPhone got several upgrades, CarPlay quietly had one of its best days in years. The latest iPhone updates bring two meaningful features that can change the way you use CarPlay on your car’s infotainment screen. 

Would you use ChatGPT while driving?

Read more
Sony and Honda’s electric car dream with Afeela series is officially dead 
Sony Honda Mobility has shelved the Afeela 1 and its follow-up, and the EV market has another high-profile casualty.
Machine, Wheel, Adult

Sony and Honda’s shared dream of launching an electric car has just come to an end. The joint venture between the two brands — Sony Honda Mobility — has just announced that plans for the upcoming Afeela 1 electric car have been shelved. Additionally, the follow-up model has been nixed from the roadmap. 

But why did the Afeela go?

Read more
This AI checks if your driving habits signal crash risk
Researchers say eye tracking, heart rate, and personality data can flag risk early.
Person, Wristwatch, Car

A new AI model is taking aim at a question most drivers don’t ask soon enough. How likely are you to crash before you even start the engine?

The system looks at how you behave behind the wheel, pulling in signals like eye movement, heart rate, and personality traits to flag warning patterns early. Instead of waiting for real-world mistakes, it relies on simulated driving tests to surface behaviors linked to dangerous outcomes.

Read more