Mobileye to Bring Cloud-Enhanced ADAS Technology to Select Future Stellantis Vehicles
Mobileye, a global developer of advanced driver-assistance systems and autonomous driving technologies, has announced plans to provide its Cloud-Enhanced Advanced Driver Assist technology for integration into select future vehicles from Stellantis. The first applications are expected to appear in certain U.S. models beginning in 2027, marking another step in the development of connected, data-driven vehicle safety systems.
The collaboration will use Mobileye’s REM Road Experience Management technology, a crowdsourced road intelligence platform designed to provide vehicles with continuously updated information about road environments. By combining vehicle-based camera data, cloud processing and advanced artificial intelligence, the system is intended to support a range of safety and convenience features that can extend beyond the capabilities of conventional vehicle-based driver assistance.
Stellantis is joining an expanding group of major global automakers that use or contribute data to Mobileye’s REM technology. The platform currently covers more than 95 percent of public roads in the United States and Europe. According to Mobileye, five of the world’s ten largest automakers now contribute data to the REM ecosystem. During the previous year, the system generated information from more than 8 million vehicles and covered approximately 34 billion miles of driving.
This scale gives Mobileye access to a continuously expanding source of real-world road information. Instead of relying only on maps created through periodic surveys or updates, REM is designed to gather data from vehicles operating across a wide range of environments. The information can then be processed and used to create a detailed, continuously evolving digital representation of road conditions and features.
For Stellantis vehicles equipped with the relevant technology, Cloud-Enhanced ADAS is expected to support selected safety and convenience functions. Potential applications include intelligent lane keeping on roads where lane markings may be limited or absent, as well as hands-free, eyes-on driving in designated areas and under specific operating conditions.
The first planned implementations are expected to be introduced in select U.S. vehicle models in 2027. Additional applications could follow in other models and markets, depending on vehicle platforms, system configurations and the specific technology packages selected by Stellantis.
A key element of the system is Mobileye’s REM platform. The technology uses the forward-facing camera of vehicles equipped with Mobileye’s EyeQ system to selectively collect crowdsourced information about the road and surrounding driving environment. The data may include information about road edges, curbs, crosswalks, lane structures and typical vehicle driving paths.
The collected information is anonymized before being transmitted to the cloud, where it is automatically processed and combined with data from other participating vehicles. The resulting intelligence layer can provide a detailed understanding of road conditions and traffic environments.
The information generated through REM can include semantic details such as traffic signals, road geometry, lane configurations, average comfort speeds and other important features. Once processed, relevant information can be delivered back to vehicles operating on the road, helping their driver-assistance systems make more informed decisions.
This cloud-based approach is particularly important as vehicles become increasingly dependent on digital information. Traditional ADAS systems typically rely heavily on onboard cameras, radar and other sensors to interpret the immediate environment around a vehicle. While these sensors remain essential, cloud-enhanced systems can provide additional context about the road ahead.
For example, a vehicle may use real-time sensor information to understand its immediate surroundings while also receiving broader information about road geometry, lane paths or other features identified by the wider connected fleet. This combination can help create a more comprehensive view of the driving environment.
One of the potential benefits of a crowdsourced road intelligence platform is the ability to respond more quickly to changes in the road environment. Construction zones, modified road layouts, newly installed traffic infrastructure and other changes can alter how a vehicle should navigate a particular location.
Because REM data is continuously generated by vehicles operating in real-world conditions, changes can potentially be detected and reflected in the digital intelligence layer. As the system receives additional information from the connected fleet, the road environment can be updated over time.
Mobileye says REM coverage extends across multiple road types, ranging from major highways to complex urban environments. While the platform has extensive coverage in the United States and Europe, the company also points to growing coverage in important markets across Asia, North America and South America.
The scale of the crowdsourcing fleet is an important part of the technology’s value. A larger fleet can generate more data across a wider geographic area, allowing the system to continuously expand its understanding of different road environments. The more vehicles that contribute data, the greater the potential for broader coverage and more frequent updates.
Nimrod Nehushtan, Executive Vice President of Business Development and Strategy at Mobileye, said the company was pleased to expand its relationship with Stellantis and bring additional intelligence into the vehicle through REM and the EyeQ6L platform.
According to Nehushtan, cloud-enhanced ADAS represents an important part of Mobileye’s broader technology portfolio. The company is developing systems ranging from advanced Surround ADAS solutions to technologies designed for highly automated and fully autonomous driving. The goal is to provide these capabilities through an integrated technology package that can be deployed at automotive scale and at an efficient cost.
The planned Stellantis integration also highlights the changing role of cloud connectivity in the automotive industry. Modern vehicles increasingly combine onboard sensing with software, artificial intelligence, high-performance computing and cloud-based information services.
ADAS technology has traditionally focused on functions such as forward collision warning, automatic emergency braking, lane departure prevention and adaptive cruise control. However, the industry is now moving toward systems capable of understanding increasingly complex driving environments.
Cloud-enhanced technologies could help expand the capabilities of these systems by providing vehicles with information beyond what their own sensors can immediately detect. In this model, each vehicle becomes both a consumer and, in certain cases, a contributor of information to a broader mobility intelligence network.
Mobileye has been developing this approach as part of its wider strategy for advanced driver assistance and autonomous driving. The company combines artificial intelligence, computer vision, sensor technologies and specialized hardware to create systems intended for deployment across a wide range of vehicles.
At the center of many of its systems is the EyeQ family of system-on-chip platforms. These processors are designed to support computer vision and artificial intelligence functions within vehicles. The EyeQ platform is used in conjunction with software and sensing technologies to support a range of ADAS applications.
Mobileye has also developed technologies including REM crowdsourced road intelligence, imaging radar and Compound AI systems. Together, these technologies are designed to support the industry’s transition from basic driver assistance toward increasingly automated driving capabilities.
The company says that more than 230 million vehicles worldwide had been built with Mobileye EyeQ technology through 2025. This large installed base provides Mobileye with significant experience in deploying driver-assistance technology across global vehicle markets.
The company was founded in 1999 and has played a major role in the development and adoption of camera-based advanced driver-assistance systems. Its technologies have been used by automakers around the world to support features designed to reduce collisions and improve road safety.
The partnership with Stellantis is therefore significant not only because of the planned integration of a specific technology but also because it demonstrates how automakers and technology companies are working together to develop the next generation of vehicle intelligence.
As vehicles become more connected, safety systems are expected to depend increasingly on a combination of local sensing and shared information. The vehicle’s own cameras and sensors will continue to play a central role, but cloud-based intelligence can provide additional information about roads and driving environments that may not be immediately visible to a single vehicle.
For drivers, the result could be more advanced assistance in a wider variety of situations. Intelligent lane keeping may become more capable on roads with limited markings, while hands-free driving systems may be able to operate across carefully defined road networks and conditions.
However, the precise capabilities available to customers will depend on individual vehicle models, hardware configurations, software systems and regulatory requirements. Stellantis and Mobileye are expected to determine the specific features and markets as the technology moves toward production.
The initial deployment in select U.S. models in 2027 is expected to serve as an important milestone in the broader rollout of Cloud-Enhanced ADAS. Future integration could expand to additional vehicle platforms and markets as the technology develops.
Mobileye also continues to pursue longer-term opportunities in autonomous driving and physical artificial intelligence. In 2026, the company acquired Mentee Robotics as part of its efforts to explore the future of physical AI and humanoid robotics.
Since 2022, Mobileye has operated as an independently listed company separate from Intel, although Intel continues to retain majority ownership. Mobileye is listed on the Nasdaq under the ticker symbol MBLY, while Intel is listed under INTC.
The planned deployment of Mobileye’s Cloud-Enhanced ADAS technology in select future Stellantis vehicles reflects the broader transformation taking place across the automotive sector. Vehicles are evolving from standalone machines into connected platforms capable of using data from their own sensors, cloud services and wider vehicle networks.
Through the combination of REM road intelligence, EyeQ processing technology and advanced ADAS software, Mobileye aims to provide automakers with a scalable way to improve vehicle safety and convenience. For Stellantis, the technology could support the development of future models with more intelligent lane assistance and carefully controlled hands-free driving capabilities.
As the automotive industry continues its transition toward connected and automated mobility, the ability to combine real-world data with artificial intelligence is likely to become increasingly important. The planned 2027 rollout represents another step in that evolution and could help establish a wider role for cloud-enhanced intelligence in the next generation of passenger vehicles.
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