By Professor Amnon Shashua
Safety has always been our North Star. We view it as a moral imperative to pursue a future with autonomous vehicles (AV), but to not wait for it when we have the technology to help save more lives today.
We fundamentally also believe that everything we do must scale, and we constantly search for the best ways to match our technology to market needs. Founded on the idea that we could use computer vision technology to help save lives on the road, Mobileye became a pioneer in advanced driver assistance systems (ADAS). These capabilities are now scaling up to become the building blocks for a fully autonomous vehicle.
More: Intel at CES 2019 | Autonomous Driving at Intel | Mobileye News
The same is also true in reverse. New technologies developed specifically for AVs are enabling greater scale of advanced driving assistance systems and bringing a new level of safety to roads.
AV Technology Raises ADAS to the Next Level
There are five commonly accepted levels of vehicular autonomy. (Zero is no autonomy.) ADAS systems fall into levels 1 and 2, while levels 3 to 5 are degrees of autonomy ranging from autonomy in some circumstances to full autonomy with no human intervention.
While level 1 and 2 cars can be bought today, cars with varying degrees of autonomy are still in development. We know self-driving cars are technically possible. But the true challenge to get them out of the lab and onto the roads lies in answering more complex questions, like those around safety assurance and societal acceptance. To that end, we have been innovating around the more difficult enablers of AV technology such as mapping and safety.
This technology envelope that we’ve designed around the AV will take ADAS to the next level.
At Mobileye, we developed Road Experience Management™ (REM™) technology to crowdsource the maps needed for AVs – what we call the global Roadbook™. We are now harnessing those maps to improve the accuracy of ADAS features. An example of this is the work that Volkswagen and Mobileye are continuing in their efforts to materialize a L2+ proposition combining the front camera and Roadbook technologies, and leveraging the previously announced data harvesting asset. The ongoing development activity is targeting a broad operational envelope L2+ product addressing mass market deployment.
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SOURCE: Intel
