Intel-owned Mobileye will start building a fleet of 100 fully autonomous vehicles with a Level 4 of autonomy requiring driver interaction only to prevent an accident that the company will test in the U.S., Europe, and Israel, Intel has announced.
by Staff
August 9, 2017
Shashua
2 min to read
Shashua
Intel-owned Mobileye will start building a fleet of 100 fully autonomous vehicles with a Level 4 of autonomy requiring driver interaction only to prevent an accident that the company will test in the U.S., Europe, and Israel, Intel has announced.
The first vehicles will begin testing later this year, Intel announced the day after closing its acquistion of Mobileye.
Ad Loading...
"Building cars and testing them in real-world conditions provides immediate feedback and will accelerate delivery of technologies and solutions for highly and fully autonomous vehicles," said Amnon Shashua, soon-to-be senior vice president of Intel Corporation and future CEO/CTO of Mobileye. "Geographic diversity is very important as different regions have very diverse driving styles as well as different road conditions and signage. Our goal is to develop autonomous vehicle technology that can be deployed anywhere, which means we need to test and train the vehicles in varying locations."
Rather than building a vehicle from the ground up like Google, Intel and Mobileye will convert existing vehicles that will incorporate Mobileye's computer vision, sensing, fusion, mapping and driving policy as well as Intel's open compute platforms, data center expertise, and 5G communication technologies to deliver a car-to-cloud system.
The fleet will include multiple car brands and vehicle types to demonstrate the technology’s agnostic nature.
"Our customers will benefit from our ability to use this fleet to accelerate our technology development," said Shashua. "We want to enable automakers to deliver driverless cars faster while reducing costs — data we collect will save our customers significant costs."
Distracted driving remains one of the most persistent risks in fleet operations. New approaches focus on removing mobile device use entirely while adding real-time safety support.
As distraction risks evolve, fleets are turning to smarter, more connected technologies to better understand what’s happening behind the wheel. Part 2 explores how these tools are helping identify risky behaviors and improve visibility across operations.
Distracted driving is often measured by what we can see—phones in hand, eyes off the road. But what about the distractions we can’t? A recent incident raises a bigger question about awareness, attention, and why subtle risks so often go unnoticed.
Fleets have more driver data than ever, so why isn't behavior changing? Training requires more than reports and coaching — it requires real-world practice.
A two-part conversation with Stefan Heck on how AI is transforming the fight against distracted driving. As fleets adopt smarter tools, the focus shifts from reacting to preventing risk. In Part 1, we look at where AI is making an impact for fleets today.
An 11% drop in pedestrian fatalities in early 2025 signals progress in U.S. road safety, but elevated death rates and ongoing risks underscore the need for continued action from fleets and policymakers.