Mobileye, Delphi Developing Fully Autonomous Vehicle System
Mobileye and Delphi Automotive PLC will begin developing a fully autonomous vehicle system that should be ready for production in 2019 under a new partnership announced Aug. 23.
by Staff
August 23, 2016
Mobileye will add new software and hardware into Delphi’s existing Automated Driving Multi-Domain Controller. This graphic, courtesy of Mobileye and Delphi, provides a breakdown of what’s inside.
2 min to read
Mobileye will add new software and hardware into Delphi’s existing Automated Driving Multi-Domain Controller. This graphic, courtesy of Mobileye and Delphi, provides a breakdown of what’s inside.
Mobileye and Delphi Automotive PLC will begin developing a fully autonomous vehicle system that should be ready for production in 2019 under a new partnership announced Aug. 23.
Mobileye will contribute its specialty in real-time mapping, and Delphi will offer its specialty in software and sensors, including cameras, LiDAR and radar. The companies will offer the system to automakers, who could install it in vehicles as soon as late 2019 or 2020, reports the Detroit News.
Ad Loading...
"This partnership will allow us to give our customers an increased level of automated capabilities faster and more cost effectively," said Kevin Clark, Delphi's president and CEO.
The system will comply with standards laid out by the Society of Automotive Engineers under its J3016 standard. SAE International has established six levels from no automation (Level 0) to full automation (Level 5) for vehicles.
The system would include Mobileye's real-time mapping and vehicle localization technologies such as EyeQ 4/5 System on a Chip with sensor signal processing, fusion, world view generation and Road Experience Management system. It will include Delphi's Multi-Domain Controller (MDC) with the full camera, radar and LiDAR suite. In addition, teams from both companies will develop the next generation of sensor fusion technology as well as the next generation of human-like "driving policy," according to the companies.
Mobileye ended an autonomous-driving partnership with Tesla in late July, following a high-profile traffic fatality in May involving a Tesla vehicle. Mobileye said it would stop providing computer chips to Tesla due to disagreements about how the technology would be deployed, reports the Wall Street Journal.
Earlier this month, Ford announced it was developing a fully autonomous car that would be ready by 2021 for use in a ride-hailing service.
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.
