Sensing the Future.
"If you ask me whether an autonomous vehicle will become commonplace, my unequivocal answer is yes, there's no question about it. The technology is almost there, the world is almost there, there's an economic motive for getting there, and drivers will slowly start to get used to the idea that you can get rid of the boring task of driving." – Amnon Shashua, CEO and President of Mobileye and SVP at Intel
From the beginning, two decades ago, hardware and software have lived under one roof at Mobileye. Our growing team of over 1,700 employees is dedicated to our tradition of leveraging the newest technology, including AI, deep learning and crowdsourcing, to create the hardware and software needed to help our over 25 OEM partners enable ADAS systems and eventually fully autonomous vehicles.
Global automakers rely on Mobileye technology to make their vehicles safer
Vehicles worldwide are equipped with Mobileye technology
Automakers are working with Mobileye to enable autonomous driving
Mobileye produces software that conducts sensor fusion - interpreting data from camera sensors as well as radar and LiDAR sensors. We use an innovative and proprietary set of algorithms to detect objects and the safe path forward. This Environmental Model is the primary source of information to support the system's decision-making.
Autonomous vehicles will require many system redundancies to deal with unforeseen circumstances. A high-definition map is required for precise localization of the vehicle, relative to road boundaries and intersections, under all conditions. Mobileye's Road Experience Management (REM™), which uses crowd-sourcing, is a unique, low-cost solution for building and rapidly updating this HD map.
Once an autonomous vehicle can sense the scene around it and localize itself on a map, the final piece allowing it to share the road with human drivers is Driving Policy. Sensing, Mapping, and powerful computing platforms give the vehicle super-human sight and reaction times. Mobileye's Reinforcement Learning for Driving Policy will provide the human-like intuition and behavior required to analyze multivariable situations and negotiate with human drivers.