Mobileye Founder Stands In Contrast To Musk On Automated Driving – Forbes

Mobileye Founder Stands In Contrast To Musk On Automated Driving – Forbes

Elon Musk
Amnon Shashua, co-founder and chief technology officer of Mobileye, speaks during a keynote address at the 2018 Consumer Electronics Show (CES) in Las Vegas, Nevada, U.S., on Monday, Jan.
8, 2018. Electric and driverless cars will remain a big part© 2018 Bloomberg Finance LPIn the space of companies working on automated driving systems, there is essentially Tesla and everyone else. Tesla CEO Elon Musk derides lidar, high definition maps and geofencing as unnecessary crutches for anyone developing automated driving. In the other camp are people like Professor Amnon Shashua, CEO of Intel unit, Mobileye. Shashua has published a new editorial outlining a strategy to get to self-driving and it’s quite different from the one spelled out by Musk. Shashua has been a staunch advocate for ensuring that any automated driving systems that are deployed be as safe as possible. .

In 2017, he co-authored a paper outlining a concept dubbed the Reliability Sensitive Safety (RSS) model that is meant to apply formal math to the task of automated driving to prevent the system from causing a crash. RSS has since been adopted by several other companies including Baidu Apollo and a very similar concept has been implemented in a different way by arch-rival Nvidia. Shashua’s latest article plots a path to deploying fully automated driving in a way that is both safe and commercially viable. Musk on the other hand has a strategy that involves rushing headlong to deploy full self-driving at the earliest possible date. In April of this year, he announced plans to enable the Tesla network for ride-hailing by the end of 2020 with one million self-driving enabled vehicles. Mobileye built its business and reputation on advanced machine vision systems to enable lane departure and collision warnings for drivers. The original version of Tesla Autopilot that debuted in 2015 was based on Mobileye technology using a single forward facing camera and radar plus a perimeter of cheap ultrasonic sensors. .

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