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Intel-Mobileye zooms out and takes the driverless acceleration weapon
In the fast-paced world of autonomous driving, every major player—from traditional automakers to tech giants—is racing toward the top. But who truly leads the pack? Recently, Navigant Research released its 2018 ranking of autonomous driving technologies, categorizing companies into "Leaders, Competitors, Challengers, and Chasers." BMW, Intel, and FCA emerged as top-tier leaders, showcasing their strong positions in the industry.
Since Intel acquired Mobileye in August 2017, the two have worked closely together, continuously strengthening their leadership in the autonomous driving space. At the recent Consumer Electronics Show (CES), Intel and Mobileye demonstrated the latest advancements in self-driving technology, reinforcing their status as industry pioneers.
One of the key innovations from Mobileye is REM (Road Experience Management), a system that leverages crowdsourced data for real-time updates. By 2018, over 2 million vehicles were expected to be equipped with REM, including models from BMW, Nissan, and Volkswagen. Unlike traditional mapping methods, REM provides highly accurate positioning—within 10 cm—which significantly improves the reliability of autonomous systems.
According to Professor Amnon Shashua, CEO of Mobileye, the REM process involves three stages: collection, aggregation, and positioning. During data collection, cameras on vehicles gather information about road signs, lane markings, and other critical elements. This data is then compressed, reducing upload costs and bandwidth usage to around 10KB per kilometer. In the aggregation phase, all the data is compiled into a cloud-based Roadbookâ„¢, which serves as a high-precision reference for navigation. Finally, this data is used to guide autonomous vehicles with pinpoint accuracy.
What makes REM particularly powerful is its integration into Mobileye’s EyeQ chips, which are already embedded in many ADAS-equipped vehicles. These front-facing cameras not only assist in driver assistance but also collect dynamic data. At CES, Mobileye announced the deployment of Mobileye8 Connect™ across thousands of vehicles, aiming to build detailed city maps using REM. This initiative is seen as a crucial step toward full automation.
With millions of vehicles already using Mobileye’s ADAS systems, the company has established a robust network for real-time data updates and diverse information collection. This infrastructure helps autonomous vehicles understand their surroundings and make precise decisions.
Another major advancement from Intel and Mobileye is their new integrated platform, combining two EyeQ5 chips, an Intel Atom® C3xx4 processor, and Mobileye software. This setup delivers powerful computing performance while maintaining low power consumption—a critical balance for future autonomous vehicles.
Recent benchmarks show that the EyeQ5’s deep learning capabilities are 2.4 times stronger than those of competitors. According to Professor Shashua, efficient computing is essential for achieving true autonomy. As electric vehicles become more common, power efficiency will play an even bigger role. Intel and Mobileye have prioritized low power consumption during design, ensuring cost-effectiveness and scalability.
Beyond technical innovation, the companies are focused on delivering real-world value now, rather than waiting for full L5 autonomy. They aim to create affordable, widely deployable solutions that can scale quickly. This approach ensures that autonomous technology benefits society sooner rather than later.
As a leading force in the tech industry, Intel and Mobileye have combined their strengths to create a seamless blend of “brain†and “eye.†Their advanced technologies and forward-thinking strategies give confidence that they are accelerating the arrival of fully autonomous driving.