Road
Experience
Management™

To facilitate autonomous driving anywhere in the world, we first need to map everywhere in the world. But not just any maps will do. Instead of overemphasizing global accuracy, Mobileye’s crowdsourced, continuously updated map of the world digitizes precisely what AVs need – nothing more, nothing less. We’re making maps for the autonomous future.

Enabling Autonomous Vehicles
Anywhere in the World

The broad, global coverage of the Mobileye Roadbook, powered by REM, enables deployment of AVs in new locations almost instantaneously. Below, you can see videos of our developmental AV driving in different countries, on different continents, in very different environments

Unedited 40-Minute Mobileye AV Ride in Jerusalem

Unedited 1-Hour Mobileye AV Ride in Munich

Common Industry Approach vs. The Mobileye Approach

Common Industry Approach – HD Maps

Not Scalable
Reliance on dedicated mapping fleets with expensive sensors (lidar, camera, INS)
Manual/semi-automatic mapping process
Infrequently updated – changes are not reflected in real time
Overly specified geometric accuracy in global coordinates
Relying on raw data on road semantics that have no specifics or insight on human driving patterns

Mobileye’s Approach – AV Maps

Scalable-by-design
Millions of Mobileye-equipped ADAS vehicles sending data to the cloud in small data packets (10kb/km)
Fully automated map generation at the push of a button
Maps can be updated in near-real time because of sophisticated change-detection algorithms on millions of mapping agents
Superior local accuracy:
where it matters
Using the “wisdom of the crowd” to create rich semantic layer of driving culture and traffic rules

Why REM is a unique solution for AV mapping

How AV R&D is impacting ADAS today

While the Mobileye Roadbook was developed for a future in which self-driving cars are ubiquitous, many of the safety benefits can reach roads today by adding our maps to advanced driver-assistance systems.